{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02133963,0.0006255336,0.0009678989,0.0007507975,0.008694517,0.004531132,0.002518972,0.002060255,0.004570993],"category_scores_gemma":[0.04106576,0.0003237499,0.0008214668,0.001404342,0.002580186,0.001899399,0.002201552,0.005485699,0.0004789109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03998627,"about_ca_system_score_gemma":0.1125873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6876758,"about_ca_topic_score_gemma":0.8796704,"domain_scores_codex":[0.9810852,0.008540593,0.0007670108,0.0008361145,0.005056067,0.003715003],"domain_scores_gemma":[0.9564471,0.0115094,0.001297687,0.001239801,0.01203281,0.01747332],"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":[0.005102945,0.01618227,0.04512773,0.002270511,0.0004963757,0.004585697,0.04669498,0.01388976,0.001930574,0.01722108,0.373952,0.4725462],"study_design_scores_gemma":[0.008564833,0.02697741,0.1142431,0.003653147,0.0009581511,0.001624978,0.1052621,0.01292322,0.004106306,0.01855709,0.7021837,0.0009459416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4937083,0.007042944,0.008898092,0.4007623,0.003591763,0.004314651,0.002004517,0.0003701902,0.07930721],"genre_scores_gemma":[0.9141933,0.004046343,0.02056546,0.04658023,0.001398913,0.001328666,0.000722064,0.0001467912,0.01101838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6876758,"threshold_uncertainty_score":0.628327,"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."}}