{"id":"W2998619602","doi":"","title":"Improving patient flow through collaboration.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Continuum of care; Operations management; Focus (optics); Patient care; Business; Computer science; Medical emergency; Process management; Medicine; Health care; Nursing; Economics; Artificial intelligence","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":[0.03405822,0.001014933,0.0005806593,0.003183771,0.00583765,0.01079178,0.002282949,0.002797843,0.03264579],"category_scores_gemma":[0.05888845,0.0004979624,0.001379313,0.002786779,0.00269295,0.008702996,0.01923599,0.004037312,0.007346059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005700562,"about_ca_system_score_gemma":0.03662985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003048144,"about_ca_topic_score_gemma":0.004309175,"domain_scores_codex":[0.9666774,0.021779,0.001395395,0.001883158,0.005710003,0.00255511],"domain_scores_gemma":[0.9569581,0.0128684,0.005318175,0.003378035,0.005896192,0.01558123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002165888,0.0005495027,0.01373596,0.000955795,0.0001780087,0.0002538665,0.007900454,0.0009537999,0.0003824757,0.05798637,0.2094961,0.707391],"study_design_scores_gemma":[0.0003689768,0.001152344,0.01668967,0.003667576,0.0002519783,0.001565062,0.01403645,0.002879957,0.001203733,0.2099163,0.748085,0.0001828635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03974525,0.02236421,0.1492572,0.4343071,0.00747408,0.001512831,0.0009253555,0.002829822,0.3415843],"genre_scores_gemma":[0.639268,0.02535446,0.1870063,0.06015266,0.006857837,0.002306123,0.002094516,0.0009601313,0.07599992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03405822,"threshold_uncertainty_score":0.1801193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922463121836241,"score_gpt":0.2156873752729109,"score_spread":0.1964627440545485,"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."}}