{"id":"W4365448699","doi":"10.3390/ijerph20085494","title":"Measuring the Impact of Bedroom Privacy on Social Networks in a Long-Term Care Facility for Hong Kong Older Adults: A Spatio-Social Network Analysis Approach","year":2023,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bedroom; Social network (sociolinguistics); Occupancy; Aging in place; Gerontology; Internet privacy; Long-term care; Psychology; Environmental health; Business; Geography; Medicine; Computer science; Social media; World Wide Web; Architectural engineering; Psychiatry; Engineering","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":[0.0008623021,0.0002747194,0.0001929747,0.001275456,0.000744782,0.0009075605,0.0003856308,0.0002302236,0.001149603],"category_scores_gemma":[0.003079296,0.0001461016,0.0003302028,0.001636703,0.0003247057,0.0008072674,0.001069016,0.0002025373,0.0001478424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211238,"about_ca_system_score_gemma":0.0008863811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06086973,"about_ca_topic_score_gemma":0.1037882,"domain_scores_codex":[0.9994262,0.0002605241,0.00007375675,0.00008811261,0.00007788602,0.00007342571],"domain_scores_gemma":[0.9974777,0.0007479937,0.001058777,0.0001360351,0.0003029319,0.000276475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003713568,0.00004029012,0.9914815,0.00004337587,0.00004810429,0.00006680453,0.002077986,0.0004868059,0.0002972424,0.00007492799,0.0001057695,0.005240064],"study_design_scores_gemma":[0.000001572998,0.00007863263,0.9914318,0.00001333454,0.0000252262,0.00003831324,0.006142527,0.001895419,0.00009915423,0.00003925122,0.0002276376,0.000007006578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988812,0.00002928725,0.0003597818,0.00002565321,0.000001440644,0.00001882891,0.0003269104,0.000002786571,0.0003540883],"genre_scores_gemma":[0.9989972,0.00003679295,0.0005722487,0.000008689893,0.000002098028,0.00003974872,0.0001997259,6.479967e-7,0.0001428583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06086973,"threshold_uncertainty_score":0.1210309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124065907512365,"score_gpt":0.4592464980840827,"score_spread":0.3351805905717177,"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."}}