{"id":"W4362667204","doi":"10.1111/poms.14000","title":"Patient‐controlled use of nonphysician providers: Appointment scheduling in mixed‐provider settings","year":2023,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Nurse practitioners; Nursing; Medicine; Health care; Family medicine; Business","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":[0.006244853,0.0005440984,0.0005233824,0.0004364997,0.0005366612,0.001291348,0.00193418,0.0009201707,0.002689332],"category_scores_gemma":[0.01361538,0.0004479153,0.000485631,0.0003911762,0.001010096,0.000984603,0.001191734,0.0009693081,0.0001348295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581997,"about_ca_system_score_gemma":0.002493844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044543,"about_ca_topic_score_gemma":0.009129592,"domain_scores_codex":[0.9957585,0.003043273,0.0001049364,0.0004822516,0.0002750722,0.0003359822],"domain_scores_gemma":[0.9790836,0.01486307,0.00304385,0.001000822,0.0005566667,0.001452086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.008570324,0.00646835,0.08857094,0.0004833824,0.0006496066,0.0009970956,0.001193608,0.7890528,0.006620612,0.02397261,0.001769423,0.07165122],"study_design_scores_gemma":[0.0009441409,0.002813828,0.01689068,0.00003225814,0.0001165657,0.0001208942,0.000687526,0.9705186,0.001417897,0.005276497,0.001106909,0.00007421713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651841,0.0001811986,0.03162752,0.0004358294,0.00004447353,0.0002954119,0.0001184194,0.00005492491,0.002058044],"genre_scores_gemma":[0.9939474,0.0000333824,0.005594762,0.00003496124,0.00001187037,0.00006401849,0.00002207873,0.00000325575,0.0002882361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01044543,"threshold_uncertainty_score":0.03302634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05202389588622943,"score_gpt":0.3539129757014642,"score_spread":0.3018890798152348,"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."}}