{"id":"W4234579875","doi":"10.1515/iupac.88.1017","title":"Meckel Diverticulum","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Gastrointestinal disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001092724,0.0008224529,0.001578516,0.005015921,0.0005323399,0.001615707,0.001128998,0.0009602623,0.05720207],"category_scores_gemma":[0.01299354,0.0003789638,0.001344589,0.005581484,0.0003546875,0.001509311,0.001466646,0.001327835,0.0271342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008013215,"about_ca_system_score_gemma":0.002231932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007422303,"about_ca_topic_score_gemma":0.01533895,"domain_scores_codex":[0.9987238,0.0002227998,0.0004966892,0.0002583042,0.000184922,0.00011345],"domain_scores_gemma":[0.9956141,0.001905023,0.0008637246,0.0007660174,0.0006341656,0.0002171058],"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":[0.0003222522,0.00001988917,0.005987694,0.00748803,0.000199658,0.0002594696,0.00004618037,0.0003007668,0.0001729782,0.001021129,0.9544863,0.02969564],"study_design_scores_gemma":[0.0005280328,0.00004514478,0.02598014,0.01049245,0.0002430189,0.001836033,0.0001727255,0.0004431017,0.0003903046,0.003140861,0.9566599,0.00006809874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007836567,0.001716698,0.0002345566,0.0002262758,0.0001065873,0.0001003515,0.9940718,0.0002217083,0.002538437],"genre_scores_gemma":[0.002622428,0.001610789,0.0008298698,0.0003315306,0.00004931886,0.0004761905,0.9926523,0.00007329821,0.001354185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05720207,"threshold_uncertainty_score":0.19136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065430002468679,"score_gpt":0.4378714030133287,"score_spread":0.4172171029886419,"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."}}