{"id":"W2616607470","doi":"10.1017/cem.2017.320","title":"P118: Effects of system design on laboratory utilization in the emergency department: the case for INR & aPTT","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Emergency department; Context (archaeology); Emergency medicine; Unbundling","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":[0.01608115,0.0006731629,0.0006132074,0.0005381536,0.00119986,0.002783797,0.001625684,0.002646264,0.04117258],"category_scores_gemma":[0.1437331,0.0004524867,0.004061645,0.0007896906,0.001222958,0.002911352,0.001658709,0.00454887,0.003373422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002224078,"about_ca_system_score_gemma":0.002977561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008720477,"about_ca_topic_score_gemma":0.01010084,"domain_scores_codex":[0.9874421,0.007043321,0.0009276224,0.001135014,0.002227378,0.001224581],"domain_scores_gemma":[0.6344855,0.3325588,0.01133116,0.005347455,0.01079004,0.005487114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05229068,0.008179408,0.6389771,0.002280575,0.00512316,0.002240485,0.002795578,0.02308685,0.008550715,0.004108345,0.03630308,0.216064],"study_design_scores_gemma":[0.003177517,0.03917024,0.8705071,0.0007704747,0.006443401,0.001490147,0.004900772,0.03295607,0.01080398,0.007691205,0.02178914,0.0003000259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507111,0.001307127,0.006914577,0.01577209,0.001078637,0.0004892975,0.001735791,0.000421279,0.02157008],"genre_scores_gemma":[0.9891648,0.0001173336,0.002679923,0.002943988,0.000333549,0.000103187,0.0002895292,0.0002363749,0.004131342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04117258,"threshold_uncertainty_score":0.137736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7231041571610054,"score_gpt":0.5704391788387211,"score_spread":0.1526649783222843,"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."}}