{"id":"W2195291233","doi":"10.2344/0003-3006-62.2.45","title":"Ifdas Meeting is Coming Up","year":2015,"lang":"en","type":"article","venue":"Anesthesia Progress","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Medicine; Computer science; World Wide Web; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006545975,0.00179752,0.001289353,0.002343018,0.005148997,0.01230523,0.001934919,0.009063847,0.2681551],"category_scores_gemma":[0.01142223,0.0006142778,0.002392176,0.001125353,0.001063727,0.00441768,0.005861025,0.009229074,0.2188484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002719981,"about_ca_system_score_gemma":0.01115777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005736232,"about_ca_topic_score_gemma":0.0134264,"domain_scores_codex":[0.9944326,0.0005515699,0.0003165663,0.0004897294,0.002696048,0.0015135],"domain_scores_gemma":[0.9792969,0.0004881221,0.0006718003,0.0005319707,0.006527726,0.01248349],"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":[0.00004200008,0.00004228781,0.0002413702,0.00007375955,0.000004175688,0.00007349771,0.0000156574,0.00001485209,0.00009989409,0.000391883,0.9809716,0.01802898],"study_design_scores_gemma":[0.00001303275,0.00002660601,0.001128499,0.00006814427,0.000003345167,0.00004368363,0.00006977224,0.00001345102,0.00003720746,0.0001612816,0.9984258,0.000009258965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.002076627,0.006386966,0.0009427908,0.1474707,0.5818998,0.0005592737,0.003355892,0.001857433,0.2554507],"genre_scores_gemma":[0.01084879,0.00676582,0.002437525,0.06395873,0.1084877,0.0005594243,0.007100395,0.0009514467,0.7988902],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7318449,"threshold_uncertainty_score":0.8970681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04684116467717876,"score_gpt":0.3158104225811574,"score_spread":0.2689692579039787,"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."}}