{"id":"W4297992676","doi":"10.51952/9781447301233.ch003","title":"Place and residence attachments in Canada’s older population","year":2013,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residence; Geography; Psychology; Demography; Gerontology; Sociology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005483655,0.0002044697,0.0002117456,0.003384861,0.004229153,0.002363626,0.0005841815,0.0003190688,0.007223942],"category_scores_gemma":[0.001837306,0.0001298253,0.0002511595,0.01011615,0.001189299,0.0006725396,0.001006733,0.000674099,0.0003365069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03296454,"about_ca_system_score_gemma":0.03314341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925689,"about_ca_topic_score_gemma":0.9977053,"domain_scores_codex":[0.9995419,0.00002664561,0.00001089949,0.00004023394,0.0002359562,0.0001445594],"domain_scores_gemma":[0.999363,0.00009018044,0.00006379036,0.00002040177,0.0003542616,0.0001083309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006339885,0.0000629275,0.2706877,0.000445445,0.00003431998,0.0007208817,0.1415011,0.001142103,0.0005945151,0.1051503,0.1284159,0.3511815],"study_design_scores_gemma":[0.000003321688,0.00001954509,0.6011844,0.0004536815,0.00002201178,0.0002570567,0.06608,0.0003768642,0.0001755768,0.002383642,0.3289993,0.00004469813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6887832,0.02328533,0.001683877,0.008661103,0.0004676838,0.0001185216,0.01191655,0.0000653545,0.2650184],"genre_scores_gemma":[0.8815951,0.02152264,0.002547361,0.0008819065,0.00009709584,0.00005103214,0.004106416,0.00004856415,0.0891498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03296454,"threshold_uncertainty_score":0.2391756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174889030265576,"score_gpt":0.2981527139859875,"score_spread":0.2664038236833318,"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."}}