{"id":"W4396514411","doi":"10.51731/cjht.2024.877","title":"Artificial Intelligence for Patient Flow","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overcrowding; Emergency department; Psychological intervention; Health care; Medical emergency; Medicine; Workflow; Acute care; Health information technology; Computer science; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00148897,0.00009293204,0.0002345819,0.0005923403,0.001029528,0.00004244723,0.000171447,0.0002154956,0.00006712098],"category_scores_gemma":[0.001315778,0.00007554384,0.00006259792,0.0003965627,0.00007072704,0.0001307931,0.00001114559,0.0006689602,0.00002985644],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005876464,"about_ca_system_score_gemma":0.009533432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547744,"about_ca_topic_score_gemma":0.00599958,"domain_scores_codex":[0.9980312,0.000139659,0.001092044,0.0001327654,0.00009990405,0.0005044558],"domain_scores_gemma":[0.9988093,0.0002934902,0.0002115613,0.0001506992,0.0004286306,0.0001063302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005270417,0.000004319324,0.00007902314,0.0002668614,0.000009633118,0.0000122455,0.002264167,0.001250833,0.000003063448,0.02575263,0.005276477,0.9650755],"study_design_scores_gemma":[0.00007250154,0.001085032,0.00009553794,0.002213515,0.00001565492,0.00004541027,0.0376449,0.04950653,0.0001731809,0.06488699,0.8440071,0.0002536146],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01564822,0.06446206,0.6356221,0.2743557,0.007286027,0.001791491,0.0001785358,0.0003744624,0.0002813434],"genre_scores_gemma":[0.9649255,0.000409978,0.03354594,0.0009074665,0.00006968662,0.00005967251,0.00001038816,0.00002056888,0.00005075493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9648219,"threshold_uncertainty_score":0.9960816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340610564882069,"score_gpt":0.4347832521283983,"score_spread":0.3007221956401914,"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."}}