{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008481715,0.00015,0.000284251,0.0004911202,0.0007173257,0.00005985131,0.00004924713,0.00007643743,0.00004097788],"category_scores_gemma":[0.0004561761,0.0001351587,0.00004112054,0.0008409141,0.00003793884,0.0005770191,0.00009680832,0.0002216166,0.0000593058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098112,"about_ca_system_score_gemma":0.00009955618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002473108,"about_ca_topic_score_gemma":0.0006109066,"domain_scores_codex":[0.9978287,0.0003754765,0.0008378506,0.0004214051,0.0002239509,0.0003126479],"domain_scores_gemma":[0.9991481,0.00008239314,0.0001363559,0.0002889315,0.0002783728,0.00006582688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003161822,0.0005578054,0.01147008,0.001575102,0.0001859537,0.000009016931,0.02078929,0.8668725,0.001272043,0.02728183,0.005467434,0.0642027],"study_design_scores_gemma":[0.007401354,0.0004158535,0.03012014,0.002064825,0.0001837193,0.000002457846,0.08135614,0.8492967,0.0005555126,0.0005752406,0.02712733,0.0009006762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657216,0.00008973698,0.004457643,0.02216724,0.0009847224,0.005684433,0.00001025187,0.0001910882,0.0006932653],"genre_scores_gemma":[0.9645065,0.0004601387,0.02914679,0.0008604407,0.0001445765,0.001520626,0.0001241836,0.00002958209,0.003207155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06330203,"threshold_uncertainty_score":0.5517161,"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."}}