{"id":"W3122150031","doi":"","title":"How Happy are Your Neighbours? Variation in Life Satisfaction among 1200 Canadian Neighbourhoods and Communities","year":2018,"lang":"en","type":"article","venue":"National Bureau of Economic Research","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Census; Life satisfaction; Context (archaeology); Geography; Variation (astronomy); Predictive power; Psychology; Social psychology; Demography; Sociology; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005328386,0.0002490368,0.0004306057,0.001991056,0.002980477,0.001218565,0.0009346045,0.0002904606,0.001929741],"category_scores_gemma":[0.002292862,0.0002075793,0.0003532161,0.007820649,0.0005518461,0.0002996352,0.001059851,0.0004163129,0.0003959017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01629394,"about_ca_system_score_gemma":0.01073886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959609,"about_ca_topic_score_gemma":0.9980364,"domain_scores_codex":[0.999298,0.00005694968,0.00003375701,0.0001285418,0.000269155,0.0002136665],"domain_scores_gemma":[0.9986986,0.00009900177,0.0001513808,0.00009990146,0.0006382505,0.0003127785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001531571,0.00005513709,0.955304,0.00008238792,0.0001164726,0.0001017335,0.003994516,0.0006886976,0.0003531316,0.0006341942,0.01624457,0.02227204],"study_design_scores_gemma":[0.000004811083,0.000007692196,0.9927202,0.00001955054,0.00001146904,0.00002302668,0.002534886,0.0003933508,0.00005194093,0.00005655194,0.00416254,0.00001405261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956397,0.0003502654,0.0002188736,0.000180218,0.000008902818,0.00003951772,0.03954366,0.0000267033,0.003234861],"genre_scores_gemma":[0.9658776,0.0003681324,0.0005385272,0.00006893828,0.000004791105,0.00006082877,0.0312372,0.00001289246,0.001831041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01629394,"threshold_uncertainty_score":0.1182214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2323441225222271,"score_gpt":0.4600940035165707,"score_spread":0.2277498809943436,"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."}}