{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389374,0.0003278946,0.0003374393,0.001420946,0.0008187528,0.001963041,0.0006424406,0.001360848,0.01048695],"category_scores_gemma":[0.01322169,0.0001988342,0.0005328752,0.002581502,0.0006089961,0.000984322,0.001307861,0.002071938,0.001000705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000522742,"about_ca_system_score_gemma":0.0009959983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553492,"about_ca_topic_score_gemma":0.003818143,"domain_scores_codex":[0.9988168,0.0003211331,0.0002004506,0.0002224821,0.0002548927,0.0001842005],"domain_scores_gemma":[0.9864281,0.004164717,0.006911793,0.0002647856,0.0009850033,0.001245718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001689844,0.00006563078,0.9851617,0.000236113,0.00009686261,0.0007015929,0.0005667904,0.00008209428,0.000183975,0.0005340615,0.001993536,0.01020879],"study_design_scores_gemma":[0.00001307993,0.0001719015,0.9828359,0.0005924503,0.0001480381,0.004823505,0.002415426,0.0003264187,0.0001269448,0.0009696509,0.007547347,0.00002930772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8988695,0.04707806,0.002030131,0.01250649,0.0007843589,0.0001267461,0.00414747,0.00008724928,0.03436994],"genre_scores_gemma":[0.9815072,0.01047113,0.002005004,0.001238003,0.002045703,0.0000808082,0.001072031,0.00002445425,0.001555748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048695,"threshold_uncertainty_score":0.0350824,"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."}}