{"id":"W2725555745","doi":"10.1093/geroni/igx004.4302","title":"WHO IS MOST LIKELY TO PLAN FOR FUTURE CARE NEEDS?","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Theory of planned behavior; Psychological intervention; Psychology; Variance (accounting); Control (management); Multilevel model; Advance care planning; Sample (material); Plan (archaeology); Regression analysis; Financial plan; Applied psychology; Social psychology; Gerontology; Nursing; Medicine; Business; Computer science; Psychiatry","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":[0.0004616531,0.0001588772,0.0004068503,0.0008700167,0.0007611756,0.0009231695,0.0003310532,0.0009838035,0.003647421],"category_scores_gemma":[0.003586923,0.0002400674,0.0004869776,0.0005877328,0.000327022,0.001261507,0.0003747072,0.0009150638,0.0008816679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003918962,"about_ca_system_score_gemma":0.0008042794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123149,"about_ca_topic_score_gemma":0.01336838,"domain_scores_codex":[0.999691,0.00006646186,0.00002743922,0.00004312157,0.00007351404,0.00009847459],"domain_scores_gemma":[0.9987709,0.0001835879,0.0004271445,0.00003058228,0.0001268178,0.0004608871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005277446,0.0001586719,0.9793782,0.00002676209,0.00003137378,0.0003595616,0.001185806,0.00009027488,0.0001517576,0.0001253626,0.001558393,0.01688105],"study_design_scores_gemma":[0.00002054935,0.0002833206,0.9761317,0.0001315396,0.00008564429,0.003377937,0.01247711,0.002142053,0.0002163916,0.001317399,0.003777753,0.00003868597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924399,0.0007624227,0.0002273394,0.003455988,0.00005243783,0.00002843271,0.0003246852,0.00001075021,0.002698186],"genre_scores_gemma":[0.9970084,0.0007675227,0.0002935192,0.0005749442,0.00004061459,0.00002668856,0.0002628882,0.000003629898,0.001021841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0123149,"threshold_uncertainty_score":0.02448648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05962702283669764,"score_gpt":0.416594733047686,"score_spread":0.3569677102109883,"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."}}