{"id":"W4390082271","doi":"10.1093/geroni/igad104.1054","title":"FACILITATORS AND BARRIERS TO IMPLEMENTING A VIRTUAL REALITY PROGRAM IN LONG-TERM CARE","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; University of British Columbia; Vancouver General Hospital","funders":"","keywords":"Workload; Thematic analysis; Implementation research; Long-term care; Focus group; Nursing; Qualitative research; Psychology; Medical education; Knowledge management; Medicine; Business; Computer science; Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086292,0.00008717906,0.0001443518,0.0008548545,0.0002638625,0.00001810455,0.00005906974,0.00006927882,0.00004249812],"category_scores_gemma":[0.000432084,0.00009401381,0.00001115661,0.003355049,0.00001748865,0.0000995588,0.0001045949,0.0002593831,0.00001604093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220136,"about_ca_system_score_gemma":0.0001480429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008332555,"about_ca_topic_score_gemma":0.00187805,"domain_scores_codex":[0.9984763,0.0001293344,0.0005761652,0.0002365696,0.0001415363,0.0004401344],"domain_scores_gemma":[0.9994763,0.0001133522,0.00009086444,0.00012466,0.0001359709,0.00005882938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001136537,0.000003177807,0.8557836,0.0001541003,0.000002279917,0.000006020087,0.05564415,0.00001012366,0.0001178509,0.0004336727,0.0008290749,0.08700451],"study_design_scores_gemma":[0.0005314299,0.0000353365,0.9113232,0.0002663833,0.000001916617,1.939234e-7,0.08512364,0.00003405032,0.00002703834,0.0001295133,0.002423079,0.0001042273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965303,0.00002226662,0.0001036559,0.001506217,0.0004134736,0.0007892331,0.00001601861,0.0001652853,0.0004535424],"genre_scores_gemma":[0.9991738,0.000004258093,0.00009557572,0.0001944823,0.0000657807,0.000244726,0.000100373,0.00001117698,0.0001098222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08690029,"threshold_uncertainty_score":0.3833772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04774278186995264,"score_gpt":0.4414854547223001,"score_spread":0.3937426728523474,"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."}}