{"id":"W4387891579","doi":"10.29327/1318927.4-29","title":"EMERGÊNCIAS CARDIOVASCULARES: RELAÇÃO DO INFARTO AGUDO NO MIOCÁRDIO E COVID-19","year":2023,"lang":"pt","type":"article","venue":"","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Nurses in Oncology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006293484,0.001029809,0.001444387,0.001322447,0.001211524,0.0007370194,0.003791597,0.0009046819,0.0006949278],"category_scores_gemma":[0.006137969,0.001066166,0.001358556,0.00586836,0.0002477384,0.0009486401,0.002724347,0.001381155,0.03321338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142566,"about_ca_system_score_gemma":0.005272547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004841845,"about_ca_topic_score_gemma":0.0009059279,"domain_scores_codex":[0.9881579,0.001729234,0.001723728,0.002933225,0.00268668,0.002769191],"domain_scores_gemma":[0.9895339,0.001504997,0.0003761183,0.005111288,0.0006775496,0.002796166],"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":[0.0001445888,0.0002593704,0.02515009,0.004574411,0.002116441,0.004974938,0.03684466,0.01930083,0.0002019077,0.01004687,0.8570824,0.03930349],"study_design_scores_gemma":[0.002506622,0.000409832,0.009002451,0.0003885078,0.0001958974,0.0002629359,0.001343067,0.04874564,0.00008658494,0.001031103,0.933914,0.002113377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1260074,0.02754895,0.6216614,0.1104647,0.04635958,0.009283158,0.0004851767,0.02456566,0.033624],"genre_scores_gemma":[0.8157358,0.006358022,0.004662609,0.07027951,0.00359855,0.0005643129,0.0001446146,0.0004913397,0.09816521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6897284,"threshold_uncertainty_score":0.9991789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0773204574645633,"score_gpt":0.3579018178746745,"score_spread":0.2805813604101112,"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."}}