{"id":"W2580161096","doi":"10.12927/hcq.2017.25012","title":"Lessons Learned from an Advanced Access Trial Within a Canadian Armed Forces Primary Care Clinic","year":2017,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces","funders":"","keywords":"Primary care; Medical emergency; Medicine; Population; Best practice; Nursing; Family medicine; Political science; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00117757,0.0003756451,0.0007283262,0.0002519391,0.008290861,0.0003954204,0.001062857,0.000781467,0.0004104019],"category_scores_gemma":[0.0003595322,0.0003653601,0.0001225485,0.0001638488,0.000116107,0.001493076,0.0000579178,0.001454557,0.0002907467],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029645,"about_ca_system_score_gemma":0.01194156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5473642,"about_ca_topic_score_gemma":0.8983541,"domain_scores_codex":[0.9942957,0.00163032,0.00143287,0.0009916744,0.0004370402,0.001212359],"domain_scores_gemma":[0.9943023,0.0003291937,0.0009504361,0.002007167,0.000946758,0.001464139],"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":[0.01396235,0.0002628481,0.0515491,0.001769028,0.0001119072,0.00009839455,0.17952,0.0002174356,0.00006843024,0.003559354,0.001576719,0.7473045],"study_design_scores_gemma":[0.1433704,0.01656883,0.5025269,0.005482092,0.0002742517,0.000007781328,0.2489546,0.007275693,0.0000354087,0.009935174,0.06119876,0.004370077],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053597,0.0003795098,0.0003884594,0.07778654,0.005833459,0.004214074,0.0008880487,0.0002760782,0.004874089],"genre_scores_gemma":[0.9842696,0.0001740368,0.003670734,0.006397764,0.001565398,0.0008086779,0.00210824,0.00009944605,0.0009061027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7429344,"threshold_uncertainty_score":0.9998798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.21550723315076,"score_gpt":0.5168309376517746,"score_spread":0.3013237045010146,"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."}}