{"id":"W4206417238","doi":"10.1590/s0066-782x2003001500001","title":"Doenças coronarianas","year":2003,"lang":"pt","type":"article","venue":"Arquivos Brasileiros de Cardiologia","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine","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":[0.001229747,0.0006407071,0.001350656,0.0005486239,0.0009627893,0.0008067637,0.0003935739,0.0008723431,0.01518992],"category_scores_gemma":[0.002695273,0.000185838,0.0007223636,0.0005524566,0.0004952236,0.0003632737,0.0005845423,0.001104566,0.001935872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005131329,"about_ca_system_score_gemma":0.0005515857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001715586,"about_ca_topic_score_gemma":0.002295837,"domain_scores_codex":[0.9994326,0.0002282154,0.00004455312,0.000142004,0.00007265127,0.00007988576],"domain_scores_gemma":[0.9994369,0.0001775802,0.0001746107,0.00009155791,0.00005257618,0.00006666617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05632623,0.003357224,0.09424689,0.01565601,0.002591499,0.01798661,0.0004636256,0.0005221061,0.01364596,0.05322444,0.1318189,0.6101605],"study_design_scores_gemma":[0.02389727,0.0108416,0.1677695,0.006216201,0.003055346,0.05622434,0.0004780247,0.0009973396,0.003222084,0.01153301,0.715661,0.0001042572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3939265,0.2870311,0.003879516,0.02003019,0.005483142,0.002601958,0.0118427,0.0006727593,0.2745321],"genre_scores_gemma":[0.8412122,0.05948504,0.004664341,0.01273392,0.003832151,0.002570721,0.006663991,0.0001041448,0.06873356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01518992,"threshold_uncertainty_score":0.05081534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485561920729107,"score_gpt":0.3066645418932119,"score_spread":0.2618089226859208,"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."}}