{"id":"W4295997684","doi":"10.36660/abc.20210953","title":"Avaliação do Impacto da Implantação de um Sistema de Ambulância Pré-Hospitalar sobre Mortalidade por Infarto Agudo do Miocárdio em um País em Desenvolvimento","year":2022,"lang":"pt","type":"article","venue":"Arquivos Brasileiros de Cardiologia","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Medicine; Confidence interval; Myocardial infarction; Poisson regression; Emergency medicine; Mortality rate; Odds ratio; Retrospective cohort study; Demography; Internal medicine; Population; Environmental health","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","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004382685,0.001644754,0.002813695,0.0007111046,0.001423198,0.0006789261,0.001223273,0.001188958,0.0006172257],"category_scores_gemma":[0.001113747,0.001624349,0.002534325,0.001365574,0.0004470822,0.0004551187,0.001236453,0.002503634,0.0003598565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003734122,"about_ca_system_score_gemma":0.001853404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004392114,"about_ca_topic_score_gemma":0.00007996746,"domain_scores_codex":[0.9878027,0.002668821,0.001886234,0.002094888,0.001892743,0.003654611],"domain_scores_gemma":[0.9936383,0.0008135451,0.001028841,0.002359039,0.0003995018,0.001760808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00131601,0.0004329057,0.8772431,0.000862852,0.003604044,0.004328501,0.01542308,0.002413588,0.03456052,0.0001586651,0.05718287,0.002473874],"study_design_scores_gemma":[0.004121702,0.001427046,0.9358088,0.0005632506,0.003279313,0.002121817,0.04308702,0.000588349,0.002528703,0.0002822701,0.004199231,0.001992528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975217,0.01093773,0.000652072,0.0003785443,0.005820466,0.003177105,0.001839956,0.0005364335,0.001440712],"genre_scores_gemma":[0.9900712,0.0007678234,0.0003423814,0.001924728,0.002761396,0.0009736491,0.001306577,0.0003607983,0.001491445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05856568,"threshold_uncertainty_score":0.9998768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153469698267124,"score_gpt":0.292013666726436,"score_spread":0.2704789697437648,"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."}}