{"id":"W2136242305","doi":"10.1017/s1481803500014226","title":"Data collection on patients in emergency departments in Canada","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Institute for Clinical Evaluative Sciences; University of Toronto; University of Alberta","funders":"","keywords":"Medicine; Medical emergency; Data collection; MEDLINE; Emergency department; Emergency medicine; Nursing; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002504108,0.0006986507,0.001271913,0.005851463,0.003586224,0.002668194,0.001989448,0.0007658456,0.004520599],"category_scores_gemma":[0.0229229,0.0007084615,0.0008493739,0.02159997,0.00079255,0.0008520834,0.001770352,0.001403722,0.0008406682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04711562,"about_ca_system_score_gemma":0.1166768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927539,"about_ca_topic_score_gemma":0.9908524,"domain_scores_codex":[0.9902998,0.001096225,0.001703741,0.0007937908,0.003530749,0.002575678],"domain_scores_gemma":[0.9681731,0.003759612,0.005821669,0.000967424,0.01719326,0.0040849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003459373,0.0001182794,0.9495177,0.0006945325,0.0001730095,0.000238992,0.001655218,0.0003760192,0.0001672929,0.0004388352,0.03095498,0.01531921],"study_design_scores_gemma":[0.00003601999,0.0000431839,0.9877638,0.000254393,0.00004720986,0.00006550466,0.001978933,0.0002223155,0.0001429805,0.00005011899,0.009371999,0.00002351251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6433238,0.005618435,0.0007636416,0.004265985,0.0001699835,0.001537413,0.3261753,0.0001424892,0.01800303],"genre_scores_gemma":[0.8768344,0.006007062,0.00153752,0.002726414,0.00009438428,0.001004328,0.1061411,0.00005683197,0.005597956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04711562,"threshold_uncertainty_score":0.3418494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06102218684767955,"score_gpt":0.3195897866847247,"score_spread":0.2585675998370451,"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."}}