{"id":"W2094655159","doi":"10.1177/0898264302239015","title":"Private Long-Term Care Insurance","year":2003,"lang":"en","type":"article","venue":"Journal of Aging and Health","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Health and Long Term Care","funders":"","keywords":"Business; Long-term care insurance; Actuarial science; Work (physics); Insurance policy; Service provider; Public economics; Product (mathematics); Public policy; Long-term care; Self-insurance; Service (business); Marketing; Health care; Economics; Health policy; Economic growth; Medicine; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008152171,0.00007959495,0.0002843682,0.0001141676,0.0004894256,0.000009838033,0.00005788285,0.00005583879,0.00002966574],"category_scores_gemma":[0.00003616799,0.00006194909,0.0000484661,0.0001139947,0.00001957186,0.00007821768,0.00001077539,0.0004872149,0.00000593913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001520769,"about_ca_system_score_gemma":0.0005172804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005967562,"about_ca_topic_score_gemma":0.00004179365,"domain_scores_codex":[0.9987455,0.0002319464,0.000480566,0.00008543202,0.0001528335,0.0003037013],"domain_scores_gemma":[0.9989912,0.00007178306,0.0004804089,0.00009753766,0.0001606603,0.0001984348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001767661,0.00002013128,0.9585568,0.0007767139,0.00001313282,0.00001583762,0.01674241,0.000001442685,0.00001118678,0.0003766544,0.004870865,0.01859716],"study_design_scores_gemma":[0.0009564345,0.0002158744,0.9813944,0.0009295634,0.00001018889,0.00006321171,0.004058104,2.001898e-7,0.00001709667,0.0001821451,0.01210189,0.00007091532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712717,0.02220896,0.0002267549,0.00375394,0.001496454,0.0001256307,0.000002614035,0.00001453486,0.0008994223],"genre_scores_gemma":[0.9947422,0.003267783,0.0006640176,0.0007640111,0.0003389782,9.870366e-7,0.000001113515,0.00001098679,0.0002098792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02347055,"threshold_uncertainty_score":0.3764315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0494643539366406,"score_gpt":0.420451212308783,"score_spread":0.3709868583721424,"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."}}