{"id":"W4243594098","doi":"10.1093/geront/gnv623.01","title":"COMMUNITY-BASED CARE MANAGEMENT DEVELOPMENT TO SUPPORT FUTURE LONG-TERM CARE INSURANCE IN TAIWAN","year":2015,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Long-term care insurance; Business; Term (time); Nursing; Actuarial science; Long-term care; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002504477,0.0001417537,0.00009611744,0.001635086,0.002598062,0.0009340814,0.0009552686,0.0003704108,0.004626853],"category_scores_gemma":[0.004271687,0.000173349,0.0001555135,0.0009455151,0.0004159297,0.0005614081,0.002069888,0.0005247559,0.0002291368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004677814,"about_ca_system_score_gemma":0.02277259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04272501,"about_ca_topic_score_gemma":0.1202669,"domain_scores_codex":[0.9989035,0.000537667,0.0001063004,0.00009182315,0.0001325293,0.0002281041],"domain_scores_gemma":[0.9959966,0.000383678,0.0005871838,0.000177334,0.0008166048,0.002038595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002410404,0.003715171,0.6133547,0.0004621935,0.0000627263,0.003712939,0.03135592,0.0006475533,0.003260106,0.001789076,0.0190562,0.3223424],"study_design_scores_gemma":[0.0001763048,0.001295467,0.8161241,0.0006812104,0.00007668039,0.0007512125,0.1361563,0.004321079,0.001297124,0.0005766501,0.03849874,0.00004515505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888533,0.0006510766,0.0007518291,0.00209777,0.0000442339,0.001060245,0.0001699773,0.00005562718,0.006315902],"genre_scores_gemma":[0.9917463,0.0004567158,0.002824668,0.0003939429,0.00002464788,0.0005974256,0.0002552107,0.000007777578,0.003693395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04272501,"threshold_uncertainty_score":0.08495259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04386762279819004,"score_gpt":0.3294502314040145,"score_spread":0.2855826086058245,"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."}}