paper · independent reproduction

Enhancing molecular property prediction with auxiliary learning and task-specific adaptation

The Ohio State University · 2024-07-24

Relationship layer

Benchmark usage

This table records what the work did with each benchmark before attempting to normalize a run. Partial claims remain visible without being treated as comparable evaluations.

fine tuning

enhancing-molecular-property-prediction-with-auxiliary-moleculenet-1-use

Non-evaluationunknown

Benchmark: MoleculeNet · version Not reported

Selection
not applicable
Metrics
Not reported / not applicable
Linked runs
None

Not reported / unresolved: MoleculeNet version is not reported.; Table 4 prints the Tox21 molecule count ambiguously as 7.831.

AI-assisted double-pass extraction; values are limited to independently supported claims.

Evidence
  • section: Results and discussion > Experimental setup
    Supports: /relation_type
  • section: Results and discussion > Experimental setup
    Supports: /benchmark_id
  • section: Results and discussion > Experimental setup
    Supports: /scope
  • section: Results and discussion > Experimental setup
    Supports: /scope
  • table: Table 4, dataset columns
    Supports: /scope
  • section: Results and discussion > Reproducibility and implementation details
    Supports: /scope
  • other: Experimental setup; reference 17
    Supports: /model_ids
  • other: Experimental setup; reference 17
    Supports: /model_ids

evaluation

enhancing-molecular-property-prediction-with-auxiliary-moleculenet-2-use

Partialsubset · n=8

Benchmark: MoleculeNet · version Not reported

Selection
filtered · Eight MoleculeNet classification datasets: BBBP, Tox21, ToxCast, SIDER, ClinTox, MUV, HIV, and BACE.
Metrics
Test ROC-AUC (Sup-CP; AM,CP,EP,IG,MP)
Linked runs
None

Not reported / unresolved: MoleculeNet version is not reported.; Realized test-set sample sizes are not reported.; Exact checkpoint revision and release date are not reported.; Scaffold splitting is the within-dataset split protocol, not the method used to select the eight benchmark datasets.; Table rows vary by adaptation strategy; those strategies are not normalized here as standalone model identities.; Conflicted result claim omitted after independent verification; the evaluation relationship is published conservatively.; benchmark version; numeric result

AI-assisted double-pass extraction; values are limited to independently supported claims.

Evidence
  • table: Table 1
    Supports: /relation_type
  • section: Results and discussion > Experimental setup
    Supports: /benchmark_id
  • section: Results and discussion > Experimental setup
    Supports: /scope
  • section: Results and discussion > Experimental setup
    Supports: /scope
  • table: Table 1, dataset columns
    Supports: /scope
  • table: Table 1 footnote
    Supports: /scope
  • other: Experimental setup; reference 17
    Supports: /model_ids
  • table: Table 1 caption and footnote
    Supports: /metric_labels

evaluation

enhancing-molecular-property-prediction-with-auxiliary-moleculenet-3-use

Partialsubset · n=8

Benchmark: MoleculeNet · version Not reported

Selection
filtered · Eight MoleculeNet classification datasets: BBBP, Tox21, ToxCast, SIDER, ClinTox, MUV, HIV, and BACE.
Metrics
Test ROC-AUC (Sup-CP; AM,IG,MP)
Linked runs
None

Not reported / unresolved: MoleculeNet version is not reported.; Realized test-set sample sizes are not reported.; Repeat count is not stated for Table 2.; Exact checkpoint revision and release date are not reported.; Scaffold splitting is the within-dataset split protocol, not the method used to select the eight benchmark datasets.; Table rows vary by adaptation strategy; those strategies are not normalized here as standalone model identities.; benchmark version; numeric result

AI-assisted double-pass extraction; values are limited to independently supported claims.

Evidence
  • table: Table 2
    Supports: /relation_type
  • section: Results and discussion > Experimental setup
    Supports: /benchmark_id
  • section: Results and discussion > Experimental setup
    Supports: /scope
  • section: Results and discussion > Experimental setup
    Supports: /scope
  • table: Table 2, dataset columns
    Supports: /scope
  • section: Results and discussion > Reproducibility and implementation details
    Supports: /scope
  • other: Experimental setup; reference 17
    Supports: /model_ids
  • table: Table 2 caption and footnote
    Supports: /metric_labels

evaluation

enhancing-molecular-property-prediction-with-auxiliary-moleculenet-4-use

Partialsubset · n=8

Benchmark: MoleculeNet · version Not reported

Selection
filtered · Eight MoleculeNet classification datasets: BBBP, Tox21, ToxCast, SIDER, ClinTox, MUV, HIV, and BACE.
Metrics
Test ROC-AUC (Sup; AM,CP,EP,IG,MP)
Linked runs
None

Not reported / unresolved: MoleculeNet version is not reported.; Realized test-set sample sizes are not reported.; Repeat count is not stated for Table 3.; Exact checkpoint revision and release date are not reported.; Scaffold splitting is the within-dataset split protocol, not the method used to select the eight benchmark datasets.; Table rows vary by adaptation strategy; those strategies are not normalized here as standalone model identities.; benchmark version; numeric result

AI-assisted double-pass extraction; values are limited to independently supported claims.

Evidence
  • table: Table 3
    Supports: /relation_type
  • section: Results and discussion > Experimental setup
    Supports: /benchmark_id
  • section: Results and discussion > Experimental setup
    Supports: /scope
  • section: Results and discussion > Experimental setup
    Supports: /scope
  • table: Table 3, dataset columns
    Supports: /scope
  • section: Results and discussion > Reproducibility and implementation details
    Supports: /scope
  • other: Experimental setup; reference 17
    Supports: /model_ids
  • table: Table 3 caption and footnote
    Supports: /metric_labels

Normalized evaluation runs

This source has no normalized model run. It may be a creator-only source or a partial/non-evaluation benchmark use.