{"id":"W4235098985","doi":"10.1515/iupac.79.2005","title":"Sensitizer","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Health and Medical Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.00175807,0.0004249465,0.001017238,0.0001401586,0.000886841,0.000005307358,0.0002768778,0.0009778043,0.0156683],"category_scores_gemma":[0.004849618,0.0002632241,0.0001432049,0.0001538915,0.0002056392,0.00003705438,0.0003441076,0.001931088,0.0001158203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008758995,"about_ca_system_score_gemma":0.004295912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006385706,"about_ca_topic_score_gemma":0.003175407,"domain_scores_codex":[0.9952957,0.000573342,0.0009755547,0.0005119288,0.001326865,0.001316583],"domain_scores_gemma":[0.9962945,0.0009683072,0.0004053236,0.0007321939,0.0008178933,0.0007817769],"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":[0.0001351466,0.00006649832,0.00002561175,0.0009376612,0.00006480118,0.00008776764,0.0000559185,7.559176e-9,5.763746e-7,0.000009752305,0.9911262,0.007489995],"study_design_scores_gemma":[0.001396808,0.0001246935,0.000111189,0.001814095,0.00007355291,0.00000266282,0.0001747741,2.382236e-7,2.829936e-7,0.0001153613,0.9958865,0.0002998391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003884475,0.001171886,0.00006240457,0.01230847,0.004314603,0.0008739153,0.9803344,0.0001312517,0.0007642421],"genre_scores_gemma":[0.000002972189,0.00546049,0.00002398957,0.01324914,0.006204886,0.00008189825,0.9701559,0.00004112163,0.004779615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01555248,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05353822111869477,"score_gpt":0.5689879019930952,"score_spread":0.5154496808744005,"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."}}