{"id":"W4247758024","doi":"10.1093/geront/gnw162.027","title":"THE INFLUENCE OF PHYSICAL AND SOCIAL ENVIRONMENTS ON AGING IN PLACE IN NORC AND COHOUSING IN CANADA","year":2016,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sociology; Aging in place; Gerontology; Psychology; 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":[0.0006041828,0.0003785809,0.0007384025,0.001505826,0.00891344,0.00270035,0.001985728,0.0008266301,0.002942013],"category_scores_gemma":[0.00195274,0.0004352325,0.001116139,0.004385048,0.001921132,0.0007226074,0.002561895,0.001910485,0.0002637634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04197085,"about_ca_system_score_gemma":0.05765378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974546,"about_ca_topic_score_gemma":0.9993643,"domain_scores_codex":[0.9985876,0.0001324097,0.00006178306,0.00013123,0.0002387509,0.0008481907],"domain_scores_gemma":[0.9970031,0.0001049146,0.0002904992,0.0000587443,0.001122583,0.001420124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001382887,0.0001324854,0.9809166,0.00003082149,0.00006380188,0.000217318,0.01040083,0.0001054868,0.0001626602,0.0004530031,0.001083593,0.006295125],"study_design_scores_gemma":[0.000007227334,0.00003916827,0.9619315,0.00005949362,0.00003575199,0.00005125077,0.0359471,0.0001865393,0.00005402134,0.00007423906,0.001591529,0.00002219551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961162,0.0004828681,0.00004500894,0.0006062076,0.00002618662,0.00002255304,0.0005362871,0.000003986866,0.002160733],"genre_scores_gemma":[0.9975459,0.0003713321,0.00006261895,0.0001017564,0.000006768576,0.000009767789,0.0002715078,0.000004938475,0.001625412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04197085,"threshold_uncertainty_score":0.3045213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498042053701683,"score_gpt":0.2423390081078775,"score_spread":0.2273585875708606,"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."}}