{"id":"W2901464684","doi":"10.1093/geront/gny141","title":"“I Didn’t Even Make My Bed”: Hospital Relocations and Resident Adjustment in Long-Term Care Over Time","year":2018,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Term (time); Psychology; Nursing; Medicine; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002922043,0.0001553558,0.0002342623,0.00006407862,0.0005775554,0.00001466973,0.000222247,0.0001647536,0.0004430761],"category_scores_gemma":[0.00009334796,0.0001088772,0.00004221331,0.0001320065,0.0003277943,0.00005656197,0.0001636507,0.0002919853,0.000320908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003450449,"about_ca_system_score_gemma":0.0001482516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003570027,"about_ca_topic_score_gemma":0.01795144,"domain_scores_codex":[0.9984665,0.0002894516,0.0003359761,0.0002921492,0.0001692323,0.0004467164],"domain_scores_gemma":[0.9989579,0.0002095063,0.0001388903,0.0005051107,0.0001114877,0.00007713711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004046818,0.0002026143,0.633575,0.0003172099,0.00008404657,0.00003512437,0.1869841,0.000001573237,0.0001561548,0.001222598,0.1367752,0.04024173],"study_design_scores_gemma":[0.0006979851,0.0002472397,0.9888005,0.0001339236,0.0000445155,0.000002500848,0.00804718,0.000005696207,0.00001728816,0.0002268724,0.001631821,0.0001445079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830239,0.005420872,0.0000297135,0.004632508,0.0012243,0.0009273634,0.00002610693,0.00008011608,0.004635098],"genre_scores_gemma":[0.9936971,0.0001840873,0.00007137736,0.0002473363,0.000564261,0.0001248184,0.00004759871,0.00001803981,0.005045365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3552255,"threshold_uncertainty_score":0.9999684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459493595163312,"score_gpt":0.369215114017274,"score_spread":0.3446201780656409,"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."}}