{"id":"W4247745823","doi":"10.1515/iupac.88.1184","title":"Pericardium","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pharmaceutical studies and practices","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; Medicine; Linguistics; Data mining; Philosophy","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":[0.00113324,0.00119745,0.001344085,0.004262286,0.0006009174,0.002466922,0.001541384,0.001307765,0.118884],"category_scores_gemma":[0.01476261,0.0005331831,0.001552512,0.004920383,0.0003570892,0.001713083,0.001995457,0.001536884,0.06959483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009029636,"about_ca_system_score_gemma":0.002050338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00659543,"about_ca_topic_score_gemma":0.01162169,"domain_scores_codex":[0.9982266,0.000317272,0.0006255239,0.0004121029,0.000281718,0.0001368699],"domain_scores_gemma":[0.9927,0.002518828,0.001670185,0.001462947,0.001286578,0.0003614261],"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":[0.0003867629,0.00001893281,0.004372962,0.00809214,0.0001393635,0.0001249371,0.00005305546,0.0001981516,0.0002470617,0.001251474,0.9580735,0.02704157],"study_design_scores_gemma":[0.0003383507,0.00003027317,0.01372943,0.004517075,0.0001402976,0.0005133525,0.00008141027,0.0001473892,0.0002539699,0.001897973,0.9783126,0.00003786889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003714603,0.001301117,0.0002405902,0.0001964463,0.0001081453,0.00008435627,0.9939458,0.0002691227,0.003482937],"genre_scores_gemma":[0.002302379,0.001570764,0.001084802,0.0004703546,0.0001105892,0.00046081,0.9912934,0.0001176781,0.002589218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.118884,"threshold_uncertainty_score":0.3977067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0609805041427554,"score_gpt":0.5415055630182452,"score_spread":0.4805250588754897,"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."}}