{"id":"W4241263089","doi":"10.1515/iupac.79.1013","title":"Chronic Toxicity Test","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; Chemical nomenclature; Hazard; Toxicology; Test (biology); Computer science; Chemistry; Biology; Philosophy; Linguistics","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":[0.003046777,0.001678146,0.002328924,0.002448916,0.0006640225,0.001958417,0.002877891,0.001642529,0.07265728],"category_scores_gemma":[0.01493458,0.0004049784,0.00272518,0.003770909,0.0004010935,0.00138631,0.001360405,0.001894488,0.03800011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874366,"about_ca_system_score_gemma":0.003631034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365902,"about_ca_topic_score_gemma":0.02714351,"domain_scores_codex":[0.9974286,0.0004555268,0.0005948473,0.0006787715,0.0006669191,0.0001753469],"domain_scores_gemma":[0.9899643,0.002746605,0.001942987,0.00153962,0.003347658,0.0004588043],"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":[0.002070581,0.0002462287,0.02300809,0.007680156,0.0009026077,0.0001332295,0.00004427572,0.001211145,0.0004455174,0.001304017,0.9158855,0.04706867],"study_design_scores_gemma":[0.001061783,0.0004736993,0.04305991,0.002351651,0.0009217637,0.0004686451,0.0001028289,0.0006703499,0.0009706205,0.003118179,0.9466934,0.0001072278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008388866,0.0008235488,0.0003272902,0.000133989,0.00006270459,0.0001646246,0.9940692,0.0001866249,0.00339322],"genre_scores_gemma":[0.004477122,0.001220155,0.0009358326,0.0005287789,0.00004880342,0.000727198,0.9874127,0.00007223788,0.00457716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07265728,"threshold_uncertainty_score":0.2430629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07879810679019804,"score_gpt":0.4852943300726667,"score_spread":0.4064962232824686,"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."}}