{"id":"W2475598603","doi":"10.4018/978-1-4666-4321-5.ch003","title":"Investing in a “Rehabilitation Model” to Improve the Decision-Making Process in Long-Term Care","year":2013,"lang":"en","type":"book-chapter","venue":"Advances in healthcare information systems and administration book series","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Rehabilitation; Long-term care; Health care; Population ageing; Medicine; Chronic care; Population; Healthcare system; Primary care; Nursing; Gerontology; Business; Family medicine; Physical therapy; Environmental health; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009242926,0.0005616067,0.0002959633,0.0004070868,0.001091243,0.003863211,0.0009104663,0.001054078,0.01476094],"category_scores_gemma":[0.001341352,0.0001957417,0.000432077,0.0009364108,0.001541767,0.002774754,0.001283414,0.001857572,0.005699124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0039734,"about_ca_system_score_gemma":0.008601187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01493315,"about_ca_topic_score_gemma":0.0424476,"domain_scores_codex":[0.9995783,0.0001195413,0.00001621905,0.00004621894,0.0001999945,0.00003975861],"domain_scores_gemma":[0.9994189,0.0002564115,0.00004611981,0.00003554562,0.0001363166,0.0001068054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000027745,0.0001435178,0.0007283146,0.0006413913,0.00001458755,0.0001033362,0.002500514,0.001117191,0.0009269019,0.1262677,0.5356842,0.3318447],"study_design_scores_gemma":[0.00001009555,0.00004123993,0.001605549,0.0007717934,0.000007724789,0.0001379438,0.0007670919,0.000789292,0.0002242522,0.03854913,0.9570795,0.00001639642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006505152,0.05241874,0.03411324,0.05450483,0.004079962,0.0002916264,0.0003544062,0.0007267503,0.8470054],"genre_scores_gemma":[0.06521284,0.09104046,0.09447081,0.02011809,0.001798243,0.0004052377,0.0008584128,0.0002842823,0.7258117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01493315,"threshold_uncertainty_score":0.04938024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327153296230811,"score_gpt":0.3813711678709561,"score_spread":0.358099634908648,"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."}}