{"id":"W7162013574","doi":"10.82308/42328","title":"Telemedicine scheduling optimization in surgical outpatient clinics","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Logistic regression; Health care; Scheduling (production processes); Quality management; Outpatient clinic; Quality (philosophy)","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":[0.001206542,0.0004442167,0.0004394144,0.0004442065,0.0004241596,0.0009452344,0.0007219118,0.0005929871,0.002038554],"category_scores_gemma":[0.003285601,0.0003548529,0.0004045143,0.0004944,0.0002788975,0.0004144411,0.0003165148,0.0004342526,0.000185996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0028733,"about_ca_system_score_gemma":0.002791508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03870632,"about_ca_topic_score_gemma":0.03132252,"domain_scores_codex":[0.9992993,0.0002583074,0.00002838328,0.0001142836,0.0001287627,0.0001709352],"domain_scores_gemma":[0.9981229,0.001036147,0.0003280395,0.00007171787,0.0002281103,0.0002130939],"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":[0.0003542739,0.0003827529,0.01228798,0.00004413577,0.00002167423,0.0001720889,0.0001163122,0.9615441,0.002153197,0.0007664298,0.000560185,0.02159678],"study_design_scores_gemma":[0.00004710411,0.0002683636,0.005988819,0.000006554365,0.000008398491,0.00003581691,0.0001439316,0.9919357,0.0007297301,0.0005066831,0.0003188359,0.00001008279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407148,0.0001212777,0.0538355,0.0004518368,0.000024343,0.0002708887,0.0002673384,0.0002560422,0.004057995],"genre_scores_gemma":[0.9921003,0.00003534552,0.00712253,0.0000284568,0.000003501773,0.00004477686,0.00008182754,0.000007474961,0.0005757226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03870632,"threshold_uncertainty_score":0.07696199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268129086824605,"score_gpt":0.3968791122488514,"score_spread":0.3641978213806054,"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."}}