{"id":"W4383872373","doi":"10.1093/geront/gnad089","title":"Nursing Home Resident Preferences for Daily Care and Activities: A Latent Class Analysis of National Data","year":2023,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute on Minority Health and Health Disparities","keywords":"Latent class model; Nursing homes; Nursing; Class (philosophy); Psychology; Gerontology; Medicine; Computer science; Statistics; Artificial intelligence; Mathematics","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":[0.008268915,0.0003141919,0.0005075478,0.001713839,0.0008551409,0.001300191,0.0006092504,0.000351046,0.001587107],"category_scores_gemma":[0.01227993,0.0002493756,0.001559849,0.002090845,0.0005810072,0.0009704863,0.001444927,0.0008561914,0.0002177561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147769,"about_ca_system_score_gemma":0.001026392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01930668,"about_ca_topic_score_gemma":0.01816512,"domain_scores_codex":[0.9965588,0.001811539,0.000280514,0.0004593136,0.0005438388,0.0003459128],"domain_scores_gemma":[0.9921725,0.003483982,0.002059994,0.001089034,0.0008376968,0.0003566845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001158633,0.0001214014,0.9913319,0.00001976464,0.0001544436,0.00002368219,0.001229906,0.0005113939,0.0001634604,0.0001760731,0.0002911217,0.005861075],"study_design_scores_gemma":[0.00001325629,0.0001124526,0.9812878,0.00002994243,0.00005466274,0.00004571208,0.002994254,0.0144845,0.0001092435,0.0004353556,0.0004122095,0.00002053813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968548,0.00003326858,0.002191306,0.00006110433,0.000003675624,0.00005172531,0.0005739419,0.00000791521,0.000222219],"genre_scores_gemma":[0.9973998,0.00001979272,0.001460573,0.00000880917,0.000002663321,0.00007098279,0.0009585132,0.000005008331,0.00007387288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01930668,"threshold_uncertainty_score":0.04373068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2292291724477827,"score_gpt":0.4702290883093759,"score_spread":0.2409999158615932,"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."}}