{"id":"W2955410481","doi":"10.1080/22423982.2019.1630234","title":"The social determinants of healthy ageing in the Canadian Arctic","year":2019,"lang":"en","type":"article","venue":"International Journal of Circumpolar Health","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute for Work & Health; Canada Mortgage and Housing Corporation; Université Laval","funders":"National Institute on Minority Health and Health Disparities; Canadian Institutes of Health Research; ArcticNet","keywords":"Social determinants of health; Healthy ageing; Multinomial logistic regression; Ageing; Gerontology; Health indicator; Environmental health; Health equity; Socioeconomic status; Psychology; Geography; Medicine; Public health; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001237726,0.0002445315,0.0003462624,0.001733097,0.005663795,0.001928269,0.0006236914,0.0002623383,0.001958399],"category_scores_gemma":[0.002597861,0.0001747592,0.000393189,0.003030868,0.0007885597,0.0003493098,0.001329665,0.0005005908,0.0001640088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02159999,"about_ca_system_score_gemma":0.04517024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963356,"about_ca_topic_score_gemma":0.9979022,"domain_scores_codex":[0.9990803,0.0001393796,0.00004108084,0.00008600469,0.0002695678,0.0003836669],"domain_scores_gemma":[0.9986027,0.0001108445,0.0001884842,0.00003528164,0.000540573,0.0005221359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008902788,0.0000661982,0.9639623,0.00007735045,0.00007621888,0.0001739184,0.01155433,0.0003277821,0.000212651,0.0008982523,0.002067721,0.02049417],"study_design_scores_gemma":[0.000002985733,0.00001481489,0.9834119,0.00007310151,0.00002055822,0.00003732638,0.01242794,0.0002775996,0.00003772145,0.0001577925,0.003519364,0.00001873451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902266,0.001148425,0.0001186141,0.000788583,0.00003891905,0.00003055342,0.00112968,0.00000854054,0.006509972],"genre_scores_gemma":[0.9975761,0.0008234524,0.0001692502,0.00007880411,0.000007943253,0.00001299198,0.0002675044,0.000004656554,0.00105936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02159999,"threshold_uncertainty_score":0.1567196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585188832965952,"score_gpt":0.4318476876262474,"score_spread":0.3859957992965878,"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."}}