{"id":"W3134282505","doi":"10.1177/0840470421995934","title":"Can facility-based transitional care improve patient flow? Lessons from four Canadian regions","year":2021,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Royal University Hospital; Alberta Health Services; George & Fay Yee Centre for Healthcare Innovation; Winnipeg Regional Health Authority; University of Manitoba","funders":"Alberta Innovates; Michael Smith Health Research BC; Institute of Health Services and Policy Research; Saskatchewan Health Research Foundation; Research Manitoba","keywords":"Unit (ring theory); Process (computing); Intervention (counseling); Health care; Transitional care; Process management; Nursing; Population; Medicine; Operations management; Medical emergency; Business; Psychology; Computer science; Environmental health; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001481819,0.0003023145,0.0003855349,0.0002766636,0.001893268,0.00003185583,0.0001960072,0.0002848933,0.0007535632],"category_scores_gemma":[0.0000348743,0.0003276252,0.0002183691,0.0004598073,0.0000458484,0.00006194135,0.00008538375,0.0006275028,0.0001641172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587655,"about_ca_system_score_gemma":0.002473894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3515388,"about_ca_topic_score_gemma":0.8774633,"domain_scores_codex":[0.9963127,0.0004943606,0.0006148302,0.0007489407,0.0004866888,0.001342449],"domain_scores_gemma":[0.9976676,0.0001516404,0.0001388645,0.0007941306,0.0004999131,0.0007478896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003292335,0.0002837745,0.03189545,0.005066019,0.0004417323,0.00199729,0.04322838,0.0002107294,0.00004726761,0.02580709,0.4931907,0.3975024],"study_design_scores_gemma":[0.002535607,0.0002478293,0.02994641,0.0007507118,0.0001968957,0.000003608922,0.2073033,0.0002070399,0.00005124997,0.004602358,0.7533684,0.0007865966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06067802,0.002648433,0.002004701,0.8780543,0.01041876,0.004007226,0.02532826,0.0004781429,0.01638214],"genre_scores_gemma":[0.9737259,0.0001301089,0.001602707,0.01548394,0.0002178097,0.0004637352,0.007046379,0.00004257811,0.001286805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9130479,"threshold_uncertainty_score":0.9999176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04179903273284204,"score_gpt":0.3348401660471591,"score_spread":0.2930411333143171,"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."}}