{"id":"W4400452981","doi":"10.1136/bmjebm-2024-sdc.177","title":"178 Exploring mobility patterns and social assets: informing housing decisions for Canadian older adults","year":2024,"lang":"en","type":"article","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université Laval; Institute for Knowledge Mobilization","funders":"","keywords":"Business; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485195,0.0004657313,0.0003192782,0.001974031,0.004308074,0.002056769,0.001102204,0.0004982017,0.006202312],"category_scores_gemma":[0.003961115,0.0002097291,0.000543523,0.003241278,0.0006405025,0.0007017044,0.001554089,0.0005066789,0.0005637506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02149748,"about_ca_system_score_gemma":0.03596246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924541,"about_ca_topic_score_gemma":0.9970871,"domain_scores_codex":[0.9993317,0.0001342269,0.00004859746,0.00008043174,0.0002007229,0.0002043498],"domain_scores_gemma":[0.9982528,0.0001695395,0.000168229,0.00005510499,0.001055142,0.0002991015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001132445,0.0001258913,0.7682967,0.0008828457,0.00008892037,0.0004145813,0.03596155,0.0006104144,0.0006759932,0.001374359,0.0392095,0.1522461],"study_design_scores_gemma":[0.00002640841,0.00008360231,0.8558073,0.001408083,0.00008979429,0.0001180673,0.09054717,0.001964245,0.000419001,0.0007091958,0.04872083,0.0001061836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211894,0.003944579,0.002633567,0.008158655,0.0001664453,0.0008609371,0.01873723,0.0001006948,0.04420853],"genre_scores_gemma":[0.9809211,0.002339597,0.007413771,0.0009706131,0.00002894828,0.0003530329,0.00362517,0.00001258954,0.004335142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02149748,"threshold_uncertainty_score":0.1559759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05392253135823299,"score_gpt":0.3148190638459969,"score_spread":0.2608965324877639,"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."}}