{"id":"W2983962074","doi":"10.1093/geroni/igz038.1473","title":"LIVING IN RURAL CONTEXTS: TOWARD A CRITICAL INTERDISCIPLINARY PERSPECTIVE ON RURAL AGING","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Rurality; Intersectionality; Sociology; Rural area; Gerontology; Perspective (graphical); Rural history; Gender studies; Economic growth; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001100302,0.0001642972,0.0002594219,0.001092198,0.00007224692,0.00005056853,0.0002189314,0.0001262011,0.0006795188],"category_scores_gemma":[0.0003235461,0.0001696407,0.00003589645,0.001095877,0.0001285476,0.0002284417,0.0002134218,0.0008802913,0.0004185228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000453675,"about_ca_system_score_gemma":0.00004508883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004884589,"about_ca_topic_score_gemma":0.00008783003,"domain_scores_codex":[0.9981253,0.0002726436,0.0004910349,0.0003575679,0.0002027554,0.0005506541],"domain_scores_gemma":[0.9987216,0.000726648,0.00007317056,0.0002642011,0.0001835148,0.00003086691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001563825,0.0002244729,0.5645046,0.00003676209,0.00002820879,0.0001006963,0.1113059,0.00002395735,0.0003315985,0.3132493,0.0004862979,0.00955187],"study_design_scores_gemma":[0.001381419,0.0002039081,0.6581828,0.001260303,0.000003511536,0.00005492493,0.3277132,0.001003295,0.0000482646,0.009746055,0.00005082336,0.0003515647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322961,0.0001505015,0.000483673,0.009095741,0.0008801031,0.0002276081,0.000001663427,0.00007173331,0.05679289],"genre_scores_gemma":[0.9976095,5.81663e-7,0.00006874891,0.0007075516,0.0001298045,0.00005788522,0.000005509007,0.00002270873,0.00139773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3035032,"threshold_uncertainty_score":0.7440254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996501700780389,"score_gpt":0.4381332387061096,"score_spread":0.3981682216983057,"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."}}