{"id":"W4242974444","doi":"10.1515/iupac.79.2004","title":"Sensitization","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Clinical toxicology; Skin sensitization; Hazard; CAS Registry Number; Computer science; Toxicology; Medicine; Chemistry; Sensitization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001321871,0.001756638,0.001375939,0.002645094,0.0009276156,0.003204164,0.00290756,0.001833508,0.1788863],"category_scores_gemma":[0.01080793,0.0005265744,0.001940224,0.004308438,0.0003590345,0.002563293,0.001942252,0.001762761,0.2167676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549653,"about_ca_system_score_gemma":0.002401415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315753,"about_ca_topic_score_gemma":0.02584794,"domain_scores_codex":[0.997858,0.000335737,0.000295372,0.0008571956,0.0004331352,0.0002206358],"domain_scores_gemma":[0.9961768,0.0009680972,0.0003197039,0.001151938,0.001141106,0.0002423549],"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":[0.0001475731,0.00002938062,0.0018174,0.0007085464,0.0000365458,0.00002155567,0.00001903101,0.000211259,0.00007857195,0.0007894036,0.9869006,0.009240076],"study_design_scores_gemma":[0.0001743568,0.00002495338,0.004084317,0.0004506516,0.00003788443,0.0000885536,0.00008163387,0.0003752414,0.000242253,0.002157185,0.9922568,0.00002626442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002379894,0.000172518,0.0001778851,0.000146383,0.00006852677,0.00004251744,0.9951019,0.0005452762,0.003506972],"genre_scores_gemma":[0.0007276371,0.0001421407,0.000560194,0.0002602601,0.00001938847,0.000145219,0.9952696,0.0001054576,0.002770058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1788863,"threshold_uncertainty_score":0.5984344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091299636399583,"score_gpt":0.3772606600643189,"score_spread":0.366347663700323,"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."}}