{"id":"W7043783320","doi":"","title":"Tradução para o português e validação de instrumento para triagem de pacientes em serviço de emergência: Canadian Triage and Acuity Scale (CTAS).","year":2004,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0291132,0.0007772659,0.0009654339,0.004849596,0.004227198,0.003899636,0.002263349,0.001182952,0.005491173],"category_scores_gemma":[0.1002636,0.0005474819,0.002607512,0.006078268,0.00406289,0.002148718,0.003940652,0.002456267,0.001260537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091957,"about_ca_system_score_gemma":0.02424399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07651828,"about_ca_topic_score_gemma":0.09683786,"domain_scores_codex":[0.9654644,0.01368813,0.005540225,0.002162392,0.01197767,0.001167218],"domain_scores_gemma":[0.941747,0.01598356,0.007534053,0.003904774,0.02915294,0.001677628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001302847,0.0004090844,0.2704514,0.006261885,0.0006666168,0.0005493709,0.04049415,0.0009512823,0.003901847,0.04530647,0.07893246,0.5507725],"study_design_scores_gemma":[0.0003763091,0.0008542124,0.7065544,0.005310009,0.0004316735,0.001282211,0.01513085,0.002078603,0.00293633,0.01362594,0.2510374,0.0003820463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4997444,0.03076146,0.1122696,0.03825602,0.01163867,0.01852099,0.03808615,0.001907307,0.2488154],"genre_scores_gemma":[0.7978254,0.006504879,0.1485401,0.005692992,0.0006138015,0.01837664,0.009976815,0.0004118173,0.01205753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07651828,"threshold_uncertainty_score":0.1539672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02261725830105653,"score_gpt":0.2719194147102162,"score_spread":0.2493021564091596,"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."}}