{"id":"W4248055982","doi":"10.1515/iupac.87.0437","title":"Neurofibroma","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; 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":[0.0005848806,0.0009443801,0.001236906,0.003932894,0.0006900718,0.001995807,0.001263726,0.001333192,0.07067674],"category_scores_gemma":[0.007891074,0.0003744854,0.001240786,0.00475631,0.0002528322,0.001428179,0.001145677,0.001211019,0.04076681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170051,"about_ca_system_score_gemma":0.002010987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058833,"about_ca_topic_score_gemma":0.02631251,"domain_scores_codex":[0.9992259,0.00007367048,0.0002098006,0.0002318418,0.0001480521,0.0001108447],"domain_scores_gemma":[0.9973384,0.0007628992,0.0005445523,0.0004637527,0.0006805982,0.0002098155],"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":[0.0003812811,0.00002236532,0.006092625,0.003402995,0.0001271329,0.0002346188,0.00002575016,0.0002684839,0.0001878392,0.0007444674,0.9665973,0.02191522],"study_design_scores_gemma":[0.0005200846,0.00003693836,0.02557298,0.00477896,0.0002033758,0.002027019,0.0001281251,0.0004270489,0.0004795335,0.003001061,0.9627714,0.00005348081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007157059,0.0008135469,0.000132692,0.0001507778,0.00006232606,0.00005677353,0.9937476,0.0002047283,0.004115827],"genre_scores_gemma":[0.002678816,0.0008523813,0.0006047048,0.0002922991,0.00003627735,0.0002384009,0.9933009,0.00006211757,0.001934119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07067674,"threshold_uncertainty_score":0.2364373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020853640667629,"score_gpt":0.4585340919253211,"score_spread":0.4383255555186448,"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."}}