{"id":"W3171335505","doi":"10.32866/001c.23718","title":"Are We Happy in Densely Populated Environments? Assessing the Impacts of Density on Subjective Well-Being, Quality of Life, and Perceived Health in Montreal, Canada.","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Happiness; Subjective well-being; Prosperity; Quality of life (healthcare); Context (archaeology); Marital status; Well-being; Psychology; Geography; Socioeconomics; Population; Demographic economics; Environmental health; Gerontology; Economic growth; Social psychology; Economics; Medicine","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":[0.0009654449,0.0002585935,0.0001905966,0.0007877222,0.001695057,0.0009148032,0.0008387483,0.0002684721,0.001958698],"category_scores_gemma":[0.002610938,0.0001480755,0.00042168,0.001881051,0.0008342337,0.0003864699,0.0007028118,0.0004604409,0.0001412129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01743105,"about_ca_system_score_gemma":0.01039587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933057,"about_ca_topic_score_gemma":0.9966523,"domain_scores_codex":[0.9995925,0.0001019016,0.00001453423,0.00005204167,0.0001109881,0.0001280968],"domain_scores_gemma":[0.9988326,0.0001427697,0.0002448259,0.00004056972,0.0004226287,0.0003165776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004479979,0.00004975014,0.987668,0.00002553246,0.00006050807,0.00004049914,0.001528385,0.0002673359,0.0001281255,0.0002144007,0.002041738,0.007930962],"study_design_scores_gemma":[0.000002433693,0.00001789019,0.9960892,0.00001634429,0.00001550998,0.000008846291,0.002699131,0.000310183,0.00004224441,0.00002650082,0.0007637961,0.000007922205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994671,0.0005164309,0.0002192919,0.0006413521,0.000009325403,0.00004116041,0.001849027,0.000006587782,0.002045705],"genre_scores_gemma":[0.9980903,0.0001975457,0.0001858588,0.00006361926,0.00000355262,0.00002283602,0.0005401265,0.000001785685,0.0008942122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01743105,"threshold_uncertainty_score":0.1264717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963640606663605,"score_gpt":0.3192434873994419,"score_spread":0.2896070813328059,"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."}}