{"id":"W2801343394","doi":"10.1371/journal.pone.0210091","title":"How happy are your neighbours? Variation in life satisfaction among 1200 Canadian neighbourhoods and communities","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; Canadian Institute for Advanced Research","funders":"Canadian Institute for Advanced Research","keywords":"Census; Life satisfaction; Geography; Predictive power; Demography; Psychology; Social psychology; Sociology; Population","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":[0.000520269,0.0002734316,0.0004370954,0.001945685,0.00296833,0.001248357,0.0009700764,0.0003056655,0.002105431],"category_scores_gemma":[0.002327539,0.0002204686,0.0003693668,0.007495145,0.000583926,0.0002938708,0.001069776,0.0004325708,0.0004573087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01666145,"about_ca_system_score_gemma":0.01117575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961317,"about_ca_topic_score_gemma":0.9980476,"domain_scores_codex":[0.9992853,0.00005745191,0.00003439297,0.0001317756,0.0002629965,0.0002281115],"domain_scores_gemma":[0.9985801,0.00009922613,0.000164095,0.0001127939,0.0007094647,0.0003343173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001777579,0.00006032199,0.952104,0.00009233512,0.0001414876,0.00009957904,0.003869029,0.0007141664,0.0003812045,0.0006691713,0.02025875,0.02143231],"study_design_scores_gemma":[0.000005775233,0.000008202041,0.9922698,0.00002247626,0.00001251175,0.00002429264,0.002146522,0.0003864865,0.00005727086,0.00005884662,0.00499232,0.00001546313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430887,0.0003964856,0.0002395564,0.0001909129,0.000010331,0.00004654006,0.05244683,0.00002916956,0.003551513],"genre_scores_gemma":[0.9547567,0.00041443,0.0005761866,0.00008577731,0.000006381335,0.00007344806,0.04190413,0.00001444577,0.002168531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666145,"threshold_uncertainty_score":0.1208879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05114152875009526,"score_gpt":0.2551620643418122,"score_spread":0.2040205355917169,"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."}}