{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003489562,0.0009058255,0.001300775,0.0003490371,0.0006457347,0.0004025064,0.002388686,0.001104967,0.00017161],"category_scores_gemma":[0.002930969,0.0009325934,0.0006612833,0.001224856,0.000452565,0.0005529311,0.0006036196,0.001506455,0.001587521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302327,"about_ca_system_score_gemma":0.002450784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003015565,"about_ca_topic_score_gemma":0.00004782917,"domain_scores_codex":[0.9906316,0.002817478,0.001119136,0.002019716,0.0007744118,0.00263766],"domain_scores_gemma":[0.994006,0.001242324,0.0004282391,0.002928292,0.0003217967,0.001073302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004836783,0.0001392328,0.9303997,0.0003047699,0.0004025905,0.001369035,0.002562337,0.00145677,0.002448733,0.03692857,0.01843788,0.005502077],"study_design_scores_gemma":[0.002315704,0.0008368649,0.9292552,0.0003193294,0.000184486,0.002584254,0.0005065624,0.004522904,0.002814567,0.003162257,0.05126459,0.002233233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6976736,0.007074605,0.2713473,0.001910635,0.007690547,0.001715719,0.0001090037,0.001345525,0.011133],"genre_scores_gemma":[0.9857104,0.0002851216,0.004121421,0.006636538,0.0005284286,0.0001056264,0.00001357099,0.00009653308,0.00250237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2880368,"threshold_uncertainty_score":0.9993125,"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."}}