{"id":"W2612138851","doi":"10.5590/josc.2017.09.1.03","title":"Happiness in Communities: How Neighborhoods, Cities and States Use Subjective Well-Being Metrics","year":2017,"lang":"en","type":"article","venue":"Journal of Social Change","topic":"Community Health and Development","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Happiness; Alliance; Well-being; Index (typography); General Social Survey; Subjective well-being; Psychology; Sociology; Political science; Social psychology; Law; Computer science","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":[0.004798736,0.0002650996,0.000440646,0.002868659,0.001626167,0.007087789,0.0006447631,0.0007325627,0.001982365],"category_scores_gemma":[0.01923059,0.0002899933,0.0005098357,0.004296162,0.002470731,0.007648722,0.004069612,0.001082223,0.0002026594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164373,"about_ca_system_score_gemma":0.001129419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241362,"about_ca_topic_score_gemma":0.03855778,"domain_scores_codex":[0.9968623,0.002222905,0.0001263873,0.0003091177,0.0002601756,0.0002191022],"domain_scores_gemma":[0.9947442,0.00272478,0.0009168373,0.0003150915,0.0006932617,0.0006058628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009122847,0.00009771279,0.6695974,0.0001717203,0.0003609371,0.0001757432,0.1990334,0.001873559,0.0002814799,0.03018471,0.009605499,0.08852655],"study_design_scores_gemma":[0.00001259528,0.000150034,0.5277404,0.0004248505,0.0001415888,0.0001993836,0.3960057,0.006910014,0.0002477399,0.03865778,0.02939246,0.0001173546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580316,0.002648955,0.008793336,0.007371173,0.0001577434,0.00004911688,0.0004337397,0.00005118299,0.02246318],"genre_scores_gemma":[0.9966516,0.0006093003,0.001731793,0.0002192931,0.00002043852,0.00003756431,0.0001497869,0.00002048837,0.0005597339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02241362,"threshold_uncertainty_score":0.04456627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2179587451226596,"score_gpt":0.4347026737111138,"score_spread":0.2167439285884542,"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."}}