{"id":"W4406357496","doi":"10.2139/ssrn.5039055","title":"Homeowner-renter dwelling, neighbourhood and life satisfaction gaps","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Neighbourhood (mathematics); Renting; Business; Mathematics; Engineering; Civil engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106506,0.0001468008,0.0004912072,0.0008109389,0.0005489222,0.00128173,0.0005676534,0.001009877,0.01237511],"category_scores_gemma":[0.004617845,0.0001322278,0.0007315794,0.001303084,0.0005491226,0.001205752,0.001588472,0.001042872,0.000689932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004988213,"about_ca_system_score_gemma":0.0006936488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100119,"about_ca_topic_score_gemma":0.03387081,"domain_scores_codex":[0.9993671,0.0001579473,0.00006072708,0.0001024033,0.00008426209,0.0002276396],"domain_scores_gemma":[0.9949269,0.001299308,0.001329629,0.0002139249,0.0003218083,0.001908371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001615608,0.0001929128,0.9957404,0.00001615704,0.00008663599,0.00005496315,0.0002705177,0.0001954912,0.00004482216,0.0004240185,0.0004438721,0.00236861],"study_design_scores_gemma":[0.000004142202,0.00006506919,0.9972536,0.00001127507,0.00002119296,0.00005422226,0.001530501,0.0004274672,0.00001569893,0.0003243212,0.0002883662,0.000004134924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971532,0.0003511592,0.00006671465,0.0004365729,0.00001370193,0.000002508619,0.0007738429,0.000003056687,0.001199238],"genre_scores_gemma":[0.9991203,0.00005381189,0.0000178167,0.00002040619,0.00001238272,0.000002313941,0.0003760199,0.000001369318,0.0003955684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02100119,"threshold_uncertainty_score":0.04175788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041719662442964,"score_gpt":0.2132334548148672,"score_spread":0.2028162581904376,"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."}}