{"id":"W2768507891","doi":"10.1186/s12913-017-2737-7","title":"Derivation and validation of the Personal Support Algorithm: an evidence-based framework to inform allocation of personal support services in home and community care","year":2017,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Home and Community Care Support Services; Impact; McMaster University; University of Waterloo","funders":"Canadian Institutes of Health Research; University of Waterloo; Ontario Ministry of Health and Long-Term Care","keywords":"Personal care; Health informatics; Decision support system; Decision tree; Medicine; Service (business); Flexibility (engineering); Nursing; Nursing research; Sample (material); Family medicine; Computer science; Public health; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1296023,0.001298808,0.002019378,0.008846762,0.00176482,0.006363118,0.003613697,0.00190104,0.00166971],"category_scores_gemma":[0.2500721,0.0006484943,0.002893377,0.005265825,0.002330624,0.003950001,0.004713023,0.002767926,0.0004060758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006615271,"about_ca_system_score_gemma":0.02592204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347859,"about_ca_topic_score_gemma":0.02219204,"domain_scores_codex":[0.9023589,0.06308762,0.014733,0.003201029,0.01565121,0.0009683061],"domain_scores_gemma":[0.7899213,0.1490983,0.01897778,0.005181452,0.03468544,0.002135654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000933333,0.001378832,0.2110034,0.008745422,0.001674232,0.0002430286,0.00587144,0.03392345,0.0005563078,0.03172173,0.01202529,0.6919235],"study_design_scores_gemma":[0.001933638,0.004722229,0.195923,0.06502883,0.00537768,0.001001633,0.01104448,0.4820665,0.005389435,0.1584835,0.06824872,0.0007804576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2209563,0.01232364,0.7057751,0.01605015,0.0004395699,0.01952778,0.003185367,0.0007800406,0.02096215],"genre_scores_gemma":[0.3201477,0.001258285,0.6725157,0.0006258025,0.00005416269,0.004003731,0.00114463,0.00002681,0.0002230878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1296023,"threshold_uncertainty_score":0.6854106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1599391514634605,"score_gpt":0.5033917678871144,"score_spread":0.3434526164236539,"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."}}