{"id":"W3200684360","doi":"10.1093/toxsci/kfab113","title":"A Pragmatic Approach to Adverse Outcome Pathway Development and Evaluation","year":2021,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Miljøstyrelsen; Vetenskapsrådet; Svenska Forskningsrådet Formas; European Commission","keywords":"Adverse Outcome Pathway; Computer science; Risk analysis (engineering); Bottleneck; Framing (construction); Pace; Modular design; Knowledge base; Artificial intelligence; Computational biology; Biology; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2347561,0.002425253,0.002880635,0.01059377,0.003341466,0.01457916,0.007290196,0.005334882,0.009946462],"category_scores_gemma":[0.3304572,0.001995576,0.005387071,0.005970666,0.007648067,0.01311583,0.01653797,0.00782585,0.00243317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01042761,"about_ca_system_score_gemma":0.05703488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004796596,"about_ca_topic_score_gemma":0.006274934,"domain_scores_codex":[0.7709417,0.1689372,0.0193761,0.008928178,0.02980796,0.002008909],"domain_scores_gemma":[0.6769148,0.2347111,0.01649367,0.02289034,0.0450082,0.00398194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005665611,0.0001973196,0.002019723,0.01060421,0.0009013578,0.0007956078,0.00368587,0.01628532,0.001774695,0.7213315,0.01669779,0.22514],"study_design_scores_gemma":[0.0003285215,0.000315916,0.0007189598,0.004405539,0.0005795932,0.0003282409,0.001267652,0.02206119,0.003069588,0.8171452,0.1496123,0.0001671462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002723845,0.002889226,0.9430524,0.02393066,0.0004284026,0.005747536,0.001753779,0.0007470342,0.01872711],"genre_scores_gemma":[0.04334854,0.001702093,0.9422062,0.00281197,0.0001796584,0.00686289,0.001172512,0.0001567628,0.001559375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2347561,"threshold_uncertainty_score":0.943682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1469923386721911,"score_gpt":0.3829345250073153,"score_spread":0.2359421863351242,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}