{"id":"W4242071885","doi":"10.1515/iupac.79.1012","title":"Chronic Toxicity","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; Computer science; Toxicology; Chemistry; Philosophy; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004148542,0.0004898693,0.0005916969,0.0001408574,0.0001488932,0.00005835515,0.0006151575,0.0002879782,0.006840042],"category_scores_gemma":[0.0006592175,0.0003582228,0.0001991738,0.0001128177,0.0001984016,0.00009799669,0.0003205106,0.0005749592,0.00002740245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007370653,"about_ca_system_score_gemma":0.0006673338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001255,"about_ca_topic_score_gemma":0.000244421,"domain_scores_codex":[0.9974685,0.0001276462,0.0004306359,0.0006380929,0.0008202003,0.0005148845],"domain_scores_gemma":[0.9982895,0.0001909343,0.000320129,0.0007766366,0.0002626348,0.0001601631],"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":[0.0002455062,0.0001096029,0.000007824096,0.0001628894,0.00009865994,0.0004190576,0.000006302576,2.299423e-7,0.0002505307,0.0000100197,0.9922926,0.006396739],"study_design_scores_gemma":[0.0005992255,0.002249339,0.00005711371,0.0008565526,0.00006015284,0.00009855635,0.00000816737,0.000007288381,0.00004742537,0.0001644354,0.9953653,0.0004864738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001748981,0.001281916,0.0001245301,0.0002650738,0.0006429818,0.000187733,0.9952888,0.0002062829,0.000253635],"genre_scores_gemma":[0.0007202247,0.0004513206,0.0000574773,0.0001209591,0.004630179,0.00001254453,0.992824,0.00005569078,0.001127627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00681264,"threshold_uncertainty_score":0.999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08618218915486706,"score_gpt":0.49436947772088,"score_spread":0.4081872885660129,"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."}}