{"id":"W2075870772","doi":"10.12927/hcq.2009.21100","title":"Improving Patient Access to Medical Services: Preventing the Patient from Being Lost in Translation","year":2009,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Service (business); Prioritization; Process (computing); Best practice; Point of care; Primary care; Health care; Process management; Business; Medicine; Nursing; Medical emergency; Computer science; Family medicine; Marketing; Political science","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":[0.02754587,0.0005304888,0.0007635127,0.001214313,0.00557701,0.009978269,0.002864966,0.002725558,0.01719618],"category_scores_gemma":[0.1261128,0.0005104834,0.0007285675,0.001627588,0.00697531,0.008032439,0.01570986,0.004912212,0.004135904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005265718,"about_ca_system_score_gemma":0.02633829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008859368,"about_ca_topic_score_gemma":0.007236938,"domain_scores_codex":[0.9706533,0.02011435,0.001361309,0.0008028669,0.005261836,0.001806317],"domain_scores_gemma":[0.9633606,0.01676427,0.003466871,0.005573373,0.006278198,0.004556711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005413435,0.001209312,0.02833827,0.0008072705,0.0000517421,0.001399682,0.03569388,0.001837204,0.001663085,0.07230177,0.06411358,0.7920429],"study_design_scores_gemma":[0.0004456763,0.004078301,0.05871693,0.004999888,0.0002255463,0.00662145,0.113141,0.01360218,0.007910047,0.2052476,0.5846694,0.0003420027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2396146,0.005909987,0.08163925,0.4324602,0.002449422,0.00119462,0.0003899377,0.001371453,0.2349704],"genre_scores_gemma":[0.9329402,0.002834474,0.02480649,0.01690684,0.0004002243,0.0004111859,0.0001780416,0.0002892875,0.02123325],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02754587,"threshold_uncertainty_score":0.1456782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987573614724943,"score_gpt":0.3906521586402131,"score_spread":0.3507764224929636,"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."}}