{"id":"W4235539092","doi":"10.1093/geront/gnv347.12","title":"AN EMPIRICAL COMPARISON OF MODELS OF ACTIVE AGING IN CANADA: THE INTERNATIONAL MOBILITY IN AGING STUDY","year":2015,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gerontology; Successful aging; Psychology; Regional science; Geography; 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":[0.01309605,0.001429116,0.001749252,0.004027904,0.008004093,0.007170942,0.006715307,0.001857765,0.006453311],"category_scores_gemma":[0.04302587,0.0007984019,0.002730667,0.01109272,0.002936349,0.00377073,0.004539559,0.003086501,0.0006056975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06528094,"about_ca_system_score_gemma":0.06615059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883003,"about_ca_topic_score_gemma":0.9893872,"domain_scores_codex":[0.9956742,0.001830311,0.0003002133,0.0005592879,0.000861689,0.0007743354],"domain_scores_gemma":[0.9662967,0.01428831,0.003602095,0.00209587,0.009161521,0.00455562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007861877,0.001023529,0.9581445,0.000149619,0.0007407381,0.000101765,0.01086182,0.003788969,0.00003284656,0.008226488,0.005233127,0.0109104],"study_design_scores_gemma":[0.0002530003,0.000349836,0.9067624,0.0003915411,0.0006795848,0.00009694196,0.05030892,0.03115291,0.00005937308,0.00437621,0.005395728,0.000173511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894642,0.001846121,0.000482419,0.00184633,0.0000643428,0.0001483895,0.002040374,0.00002353181,0.004084409],"genre_scores_gemma":[0.9923676,0.001477361,0.0005044304,0.0002308756,0.00002346835,0.0001347002,0.003807401,0.00002962412,0.001424719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06528094,"threshold_uncertainty_score":0.4736486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2619684926580103,"score_gpt":0.5011409468052745,"score_spread":0.2391724541472642,"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."}}