{"id":"W4249288760","doi":"10.1515/iupac.87.0358","title":"Medulloblastoma","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","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; 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":[0.0004901044,0.0008305633,0.001238369,0.003264967,0.0005806239,0.00178339,0.001236077,0.00102554,0.0532876],"category_scores_gemma":[0.005112226,0.0003801066,0.001181863,0.004773808,0.0002432825,0.00144788,0.001306488,0.001169391,0.03396066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147167,"about_ca_system_score_gemma":0.002021636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709002,"about_ca_topic_score_gemma":0.03437283,"domain_scores_codex":[0.9992411,0.00006774446,0.0001775007,0.0002386314,0.0001569499,0.0001179907],"domain_scores_gemma":[0.9985631,0.0003540625,0.0002767656,0.0003411203,0.0003197507,0.0001452496],"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":[0.0005813139,0.00002784015,0.01396,0.003769455,0.0002172736,0.0005429754,0.00004644393,0.0007409791,0.0004344906,0.001340548,0.9262396,0.05209894],"study_design_scores_gemma":[0.0003038628,0.00003612383,0.02908115,0.002281043,0.000216937,0.002775143,0.0001408895,0.0006378091,0.0007501415,0.003827312,0.9599057,0.0000438523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001776303,0.001785479,0.0003593536,0.0002711845,0.0001028472,0.00007759222,0.9883472,0.0004058252,0.006874137],"genre_scores_gemma":[0.005314064,0.001641872,0.001033032,0.0003567158,0.00004078204,0.0001828661,0.9882825,0.0001148509,0.00303342],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0532876,"threshold_uncertainty_score":0.1782647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09525536416132428,"score_gpt":0.5719127902287,"score_spread":0.4766574260673757,"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."}}