{"id":"W4239409869","doi":"10.1515/iupac.87.0715","title":"Wernicke’S Area","year":2016,"lang":"ru","type":"dataset","venue":"IUPAC Standards Online","topic":"Alcoholism and Thiamine Deficiency","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":[0.0008937151,0.001060997,0.001255298,0.005097579,0.0007251988,0.002747621,0.001617933,0.001206887,0.09702479],"category_scores_gemma":[0.01303436,0.0003773919,0.001282818,0.007303535,0.0003705759,0.002161398,0.001787567,0.001416695,0.08420053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009524803,"about_ca_system_score_gemma":0.002430637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.015287,"about_ca_topic_score_gemma":0.0222923,"domain_scores_codex":[0.9986524,0.0001767368,0.0003344248,0.0004175895,0.0002350371,0.00018391],"domain_scores_gemma":[0.9964252,0.001139043,0.0006753427,0.0006171436,0.0008335497,0.0003096657],"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":[0.0001897702,0.00001689501,0.005550987,0.001515192,0.0000643345,0.00007299759,0.00003672482,0.000128647,0.00005344276,0.0009235953,0.9793214,0.01212616],"study_design_scores_gemma":[0.000197654,0.00002292618,0.01707704,0.001353149,0.00006831678,0.0002713413,0.0001159146,0.0001552286,0.0001536498,0.001836065,0.9787162,0.00003241306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004829059,0.000567658,0.0001060837,0.0002180406,0.00008690346,0.00003341996,0.9940053,0.0001923109,0.004307385],"genre_scores_gemma":[0.002468954,0.0006280114,0.0003444981,0.0002221705,0.00006777149,0.0002045199,0.9925854,0.00009453284,0.003384271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09702479,"threshold_uncertainty_score":0.3245803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394107433792256,"score_gpt":0.4091537393943802,"score_spread":0.3852126650564577,"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."}}