{"id":"W2395330091","doi":"","title":"Chemical Hazard Estimation and Method Comparison with OWL-Encoded Toxicity Decision Trees.","year":2011,"lang":"en","type":"article","venue":"OWL: Experiences and Directions","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Decision tree; Computer science; Estimation; Hazard analysis; Hazard; Data mining; Ecology; Reliability engineering; Biology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.009980446,0.0006172956,0.0007816639,0.001873027,0.0004175426,0.001518085,0.001702258,0.0009182159,0.003687273],"category_scores_gemma":[0.04054766,0.0002290922,0.0009561577,0.00156302,0.0002883542,0.001911927,0.001083559,0.001029951,0.0005413876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158759,"about_ca_system_score_gemma":0.001992365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006269555,"about_ca_topic_score_gemma":0.006231084,"domain_scores_codex":[0.996192,0.002071581,0.0003181023,0.0002286787,0.001089071,0.0001005089],"domain_scores_gemma":[0.9645678,0.03004832,0.0007121979,0.002003152,0.002358886,0.0003095188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003309513,0.001419134,0.01819094,0.002403716,0.00130807,0.0003332879,0.0002713525,0.2845168,0.007319939,0.02523231,0.01931227,0.6363827],"study_design_scores_gemma":[0.0003384036,0.0003833889,0.002888752,0.0001444623,0.0002817607,0.0001980469,0.0001894291,0.9477742,0.008872139,0.02874828,0.01013327,0.00004786988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1881677,0.008019356,0.7667819,0.002311655,0.0006637041,0.0006920043,0.009868281,0.01008317,0.01341233],"genre_scores_gemma":[0.498694,0.001655224,0.4907765,0.0004861325,0.00009479572,0.0002583912,0.006126391,0.0004293702,0.001479069],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009980446,"threshold_uncertainty_score":0.05278224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806921044164744,"score_gpt":0.3365820356544257,"score_spread":0.2985128252127782,"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."}}