{"id":"W4231267559","doi":"10.1515/iupac.79.0972","title":"Carcinoma","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Forensic toxicology; Toxicology; Library science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00138266,0.0017266,0.001406611,0.003351682,0.001034045,0.003697468,0.002697724,0.001817468,0.1979905],"category_scores_gemma":[0.01165399,0.0005607511,0.001919199,0.006352166,0.000341319,0.002602504,0.00220706,0.001686689,0.2636043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731611,"about_ca_system_score_gemma":0.002983521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933879,"about_ca_topic_score_gemma":0.03329107,"domain_scores_codex":[0.9975745,0.0003878853,0.0003831904,0.0008759624,0.0005006057,0.0002778542],"domain_scores_gemma":[0.9954006,0.001031255,0.0004248478,0.001307489,0.001546114,0.0002896809],"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":[0.0000945896,0.00001585556,0.001255365,0.0006806948,0.00003501194,0.00001605994,0.00001977737,0.0001330978,0.0000744426,0.0007051438,0.989463,0.007506937],"study_design_scores_gemma":[0.0001198405,0.00001609312,0.003048699,0.0005082315,0.00003593473,0.00006025263,0.00007943507,0.0002085822,0.000181266,0.001558957,0.9941601,0.00002270845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001101253,0.0001023353,0.0001156387,0.0001032111,0.00004665769,0.00002376401,0.9971001,0.0002667205,0.002131405],"genre_scores_gemma":[0.0003732511,0.00009929324,0.000334259,0.0001605806,0.00001418468,0.0001054541,0.9969196,0.00007307236,0.001920247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1979905,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177080896682641,"score_gpt":0.4087733480931737,"score_spread":0.3910652584249096,"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."}}