{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006034744,0.00135378,0.001224208,0.002154002,0.001224392,0.006564918,0.00219799,0.004693061,0.01350933],"category_scores_gemma":[0.0242727,0.0004749147,0.001271473,0.002599881,0.004494548,0.007284255,0.003708153,0.005131864,0.003095577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002809338,"about_ca_system_score_gemma":0.002801664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004052578,"about_ca_topic_score_gemma":0.002434321,"domain_scores_codex":[0.9945332,0.002753577,0.000422327,0.0008447442,0.001236705,0.0002094759],"domain_scores_gemma":[0.9881919,0.00902864,0.0005181014,0.0009815049,0.001001499,0.0002783337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001296576,0.0001272334,0.002710312,0.001595436,0.0001989626,0.0003102193,0.000510125,0.032765,0.0003762452,0.5684226,0.08389055,0.3089637],"study_design_scores_gemma":[0.00004224515,0.00004378042,0.0007144681,0.0005794147,0.00003546095,0.0002341747,0.0002291931,0.04756195,0.0002208642,0.8279306,0.1223571,0.00005062944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00961468,0.07399771,0.5180396,0.2103081,0.008016051,0.0008196287,0.00336864,0.00260441,0.1732312],"genre_scores_gemma":[0.4170088,0.06260169,0.4411464,0.02464741,0.006757587,0.001919997,0.004785797,0.000503008,0.04062914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01350933,"threshold_uncertainty_score":0.0451932,"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."}}