{"id":"W6997152739","doi":"","title":"Urban neighborhood environments and adult affective health outcomes in Canada","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Socioeconomic status; Negative affectivity; Context (archaeology); Affect (linguistics); Population health; Population; Social support; Well-being","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":[0.0009872355,0.0001961868,0.000482882,0.001889106,0.002125492,0.001680411,0.0007260736,0.0002934487,0.002886864],"category_scores_gemma":[0.004183404,0.0001699879,0.0008037987,0.005622996,0.0005429912,0.0002987922,0.0009558507,0.0004185708,0.000106531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02209018,"about_ca_system_score_gemma":0.0503385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871208,"about_ca_topic_score_gemma":0.9928706,"domain_scores_codex":[0.9989961,0.0001358848,0.0001149263,0.0001669217,0.0003760444,0.0002101246],"domain_scores_gemma":[0.9966545,0.0003192678,0.0007960663,0.00008198396,0.001645582,0.0005026284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000371969,0.0001142254,0.9230202,0.002850791,0.0007175861,0.000181767,0.001761427,0.0003882019,0.0001676794,0.000754314,0.006487538,0.06318431],"study_design_scores_gemma":[0.00003603524,0.00005071104,0.9927852,0.001055941,0.0003084688,0.00006309153,0.001381095,0.0002209107,0.00008007595,0.0001803925,0.003818193,0.0000198186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8824018,0.07539172,0.0005171315,0.00439636,0.0001683111,0.0003857577,0.0217925,0.00004708094,0.01489938],"genre_scores_gemma":[0.9854487,0.01100274,0.0003872369,0.0003680128,0.00002286213,0.00008646587,0.001957566,0.000005252725,0.0007211325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02209018,"threshold_uncertainty_score":0.1602762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008427109573189,"score_gpt":0.2627241308385835,"score_spread":0.2526398597428516,"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."}}