{"id":"W4290766953","doi":"10.2196/38428","title":"Predicting Patient Wait Times by Using Highly Deidentified Data in Mental Health Care: Enhanced Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Mental health; Task (project management); Referral; Health care; Patient satisfaction; Artificial intelligence; Machine learning; Computer science; Medicine; Medical physics; Family medicine; Nursing; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004381174,0.0005611636,0.0006107885,0.002052292,0.0003716932,0.001210026,0.0007496472,0.0008232135,0.0004976089],"category_scores_gemma":[0.01918212,0.0003875428,0.0007522466,0.001598262,0.0002810115,0.001127927,0.000726571,0.001370045,0.0001023316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317593,"about_ca_system_score_gemma":0.001537284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0164444,"about_ca_topic_score_gemma":0.01510071,"domain_scores_codex":[0.9986066,0.0007295465,0.0001605471,0.0002632534,0.0001311835,0.0001088717],"domain_scores_gemma":[0.9804222,0.01553612,0.002138157,0.0007824358,0.0008784638,0.0002426917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005358487,0.001281914,0.4485651,0.000135522,0.000319626,0.0002925689,0.0006329724,0.4383004,0.001451494,0.001124725,0.0008691642,0.1064907],"study_design_scores_gemma":[0.00001487876,0.00009113659,0.03313049,0.0000160626,0.00002780842,0.00004378118,0.00009881853,0.9646446,0.0005258325,0.001200964,0.0001877743,0.00001785963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8846549,0.0002541439,0.1126428,0.0007318022,0.00002171768,0.000112199,0.0009398587,0.0002524607,0.0003900665],"genre_scores_gemma":[0.9648634,0.00007313069,0.03405673,0.00005080725,0.00002120524,0.00005166979,0.000722088,0.00000672162,0.0001543738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0164444,"threshold_uncertainty_score":0.03269732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05328778007231626,"score_gpt":0.408389783423845,"score_spread":0.3551020033515287,"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."}}