{"id":"W2900133476","doi":"10.1093/geroni/igy023.3181","title":"LIFE-SPACE MOBILITY IN THE CANADIAN LONGITUDINAL STUDY ON AGING: A MULTI-DISCIPLINARY PERSPECTIVE","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Psychosocial; Gerontology; Longitudinal study; Psychology; Population; Demography; Medicine; Sociology","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":[0.002978487,0.0004409311,0.0007097959,0.003648829,0.003803764,0.001895981,0.00190649,0.0006543018,0.001028525],"category_scores_gemma":[0.004813312,0.0003022766,0.001169047,0.008632658,0.0007653389,0.0008216129,0.001808341,0.001198267,0.0001111133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01519812,"about_ca_system_score_gemma":0.02195045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853058,"about_ca_topic_score_gemma":0.9920367,"domain_scores_codex":[0.99782,0.0003413673,0.0001673155,0.0003576484,0.0007583962,0.0005552446],"domain_scores_gemma":[0.9971178,0.0002188782,0.000490419,0.0001780561,0.001246627,0.0007481599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003333907,0.00002786054,0.991507,0.00005681795,0.0001673312,0.00006116372,0.001413594,0.0001386629,0.00006226564,0.00037276,0.001474727,0.004684436],"study_design_scores_gemma":[0.000002090562,0.000008316449,0.9979022,0.0000421111,0.00003842015,0.00002098904,0.0008690937,0.000212328,0.00001091441,0.0000691386,0.0008146736,0.000009877609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638911,0.00908507,0.0006390557,0.005175641,0.0001004284,0.0001250754,0.01329863,0.0000219669,0.007663013],"genre_scores_gemma":[0.9931394,0.002244788,0.0006107742,0.0003419175,0.0000364418,0.0000491882,0.003138189,0.000006528921,0.0004327281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01519812,"threshold_uncertainty_score":0.1102706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178977299146653,"score_gpt":0.4111205486738697,"score_spread":0.2932228187592044,"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."}}