{"id":"W1985869406","doi":"10.3109/10408444.2010.541225","title":"Using mode of action information to improve regulatory decision-making: An ECETOC/ILSI RF/HESI workshop overview","year":2011,"lang":"en","type":"review","venue":"Critical Reviews in Toxicology","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Academy of Sciences","keywords":"Relevance (law); Engineering ethics; Chemical safety; Regulatory science; Risk assessment; Medicine; Action (physics); Risk analysis (engineering); Computer science; Political science; Engineering; Pathology; Computer security","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":[0.01988839,0.001654849,0.001942061,0.005118493,0.0005449836,0.003136991,0.002828764,0.00374858,0.002274374],"category_scores_gemma":[0.008710454,0.0008343037,0.001598059,0.004304486,0.001362088,0.004976569,0.001923891,0.004165421,0.001328583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004311719,"about_ca_system_score_gemma":0.007543378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003688753,"about_ca_topic_score_gemma":0.006478732,"domain_scores_codex":[0.9953026,0.002191809,0.0005781791,0.0003652355,0.001336145,0.0002261183],"domain_scores_gemma":[0.9912716,0.00527948,0.0006922328,0.0002193446,0.002348418,0.0001890155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001145269,0.0001951341,0.0001624209,0.03916204,0.0001682572,0.0004072855,0.0007294744,0.002965281,0.003992965,0.03671181,0.03332565,0.8820651],"study_design_scores_gemma":[0.00002871364,0.0002380895,0.0005135536,0.02655349,0.0001645211,0.0005362486,0.0003676061,0.0005065291,0.002650548,0.009079061,0.9592936,0.00006793514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004124577,0.9846542,0.004048192,0.005653349,0.0008705587,0.0001378253,0.00005461433,0.00002134785,0.004147377],"genre_scores_gemma":[0.004064489,0.9854882,0.00714917,0.001319816,0.0003486805,0.0001321201,0.00007154763,0.000008750659,0.001417126],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01988839,"threshold_uncertainty_score":0.1051811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.550048881751088,"score_gpt":0.5778765892443379,"score_spread":0.02782770749324992,"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."}}