{"id":"W4247989683","doi":"10.1515/iupac.87.0535","title":"Posterior Fossa","year":2016,"lang":"es","type":"dataset","venue":"IUPAC Standards Online","topic":"Meningioma and schwannoma management","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":[0.0005193353,0.001398564,0.00124108,0.002738512,0.0006097881,0.00218742,0.001722763,0.001199738,0.1249758],"category_scores_gemma":[0.006964877,0.0004013812,0.001472358,0.004089693,0.0003153629,0.00165741,0.001477764,0.001341319,0.1159928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108802,"about_ca_system_score_gemma":0.002193711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036002,"about_ca_topic_score_gemma":0.03250856,"domain_scores_codex":[0.9992617,0.0000726315,0.0001489497,0.0002937133,0.0001367224,0.00008629466],"domain_scores_gemma":[0.9979982,0.0005477208,0.0003694321,0.0003816665,0.00056613,0.0001368407],"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":[0.0004967319,0.00002692428,0.007258348,0.002054569,0.0001373973,0.0002133616,0.00003830699,0.0004860555,0.0001773322,0.001075721,0.9535153,0.03451991],"study_design_scores_gemma":[0.0002587622,0.00004204912,0.01930997,0.001446899,0.0001220896,0.001028065,0.0001030605,0.0004822284,0.0003811739,0.003515514,0.9732611,0.00004915351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000662963,0.000525675,0.000304768,0.0001365949,0.00006047257,0.00003382728,0.9924546,0.0004056858,0.005415265],"genre_scores_gemma":[0.00353285,0.0006623176,0.0008302238,0.0002853203,0.00004745449,0.0001621971,0.9900748,0.0001277578,0.004277033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1249758,"threshold_uncertainty_score":0.4180856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946707571046254,"score_gpt":0.3998923299514619,"score_spread":0.3804252542409994,"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."}}