{"id":"W4248565397","doi":"10.1515/iupac.79.1570","title":"Malignant","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; Computer science; Toxicology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399952,0.001988566,0.001396393,0.003208457,0.00108515,0.003684345,0.002867134,0.001876156,0.1680032],"category_scores_gemma":[0.01123902,0.0005457012,0.001973466,0.004709971,0.0003897534,0.002596751,0.002133973,0.001761799,0.2345696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586943,"about_ca_system_score_gemma":0.002825482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467618,"about_ca_topic_score_gemma":0.0290808,"domain_scores_codex":[0.9976124,0.0003714803,0.0003376478,0.0009356701,0.0004794067,0.0002634941],"domain_scores_gemma":[0.9959592,0.000973556,0.0003232349,0.001217831,0.001232841,0.000293372],"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":[0.00010791,0.00002136667,0.001529945,0.0006391055,0.000035733,0.00002066876,0.00001787445,0.0001683282,0.00007525057,0.0007277636,0.9881566,0.008499367],"study_design_scores_gemma":[0.0001408878,0.00002074123,0.003301178,0.0004270801,0.0000367478,0.00008051626,0.00007670879,0.0003060747,0.0002211516,0.001926525,0.9934377,0.00002466502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000182187,0.0001629039,0.0001628555,0.0001537341,0.00008032395,0.00003176782,0.9958761,0.0004655054,0.002884529],"genre_scores_gemma":[0.0004902194,0.0001136963,0.0004151102,0.0001886015,0.0000190225,0.0001057122,0.9967005,0.00008309132,0.001884021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1680032,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365479322868114,"score_gpt":0.3815693653591131,"score_spread":0.367914572130432,"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."}}