{"id":"W4233953305","doi":"10.1515/iupac.76.0143","title":"Bioinactivation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Relation (database); Hazard; Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Biology; Linguistics; Philosophy","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":[0.001185555,0.00236107,0.001371741,0.00376775,0.0009510702,0.002940906,0.002805376,0.001708975,0.1045645],"category_scores_gemma":[0.006109546,0.0006988345,0.001846552,0.004985526,0.0003948102,0.00222626,0.002532625,0.001979388,0.1618154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466086,"about_ca_system_score_gemma":0.002369369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01543923,"about_ca_topic_score_gemma":0.03406972,"domain_scores_codex":[0.9985403,0.0002472403,0.0002042229,0.0005148517,0.0003415999,0.0001517369],"domain_scores_gemma":[0.9978635,0.0005945842,0.0002479354,0.0006276389,0.0004954584,0.0001710218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001024267,0.00002780713,0.001228181,0.001555834,0.00004894878,0.00002842692,0.0000382142,0.0003709118,0.0002471947,0.0009545405,0.9878549,0.007542566],"study_design_scores_gemma":[0.0001007328,0.00001591326,0.002466694,0.0004057921,0.00002909985,0.00005878483,0.00004933909,0.000276133,0.0002770571,0.001209512,0.9950884,0.00002253871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001234106,0.0001665851,0.0001378415,0.00005781656,0.00002697591,0.00001542271,0.9975165,0.0006240408,0.001331411],"genre_scores_gemma":[0.0002235932,0.0001075325,0.0003255451,0.00006481529,0.000005045661,0.00006199392,0.9982864,0.000106809,0.0008181403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1045645,"threshold_uncertainty_score":0.349803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031811055771371,"score_gpt":0.507766822944423,"score_spread":0.4045857173672859,"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."}}