{"id":"W4289812863","doi":"10.54691/bcpbm.v23i.1378","title":"Exploring Life Quality Index via Education Level and Population Density","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Akaike information criterion; Statistics; Index (typography); Population; Mathematics; Bachelor; Econometrics; Bayesian information criterion; Geography; Computer science; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005265606,0.0001401259,0.0001602849,0.0001766363,0.0003664218,0.00002754318,0.0001137269,0.00003753812,0.0005407575],"category_scores_gemma":[0.00002556514,0.0001501329,0.00003197804,0.0004299924,0.00002299204,0.0001695409,0.000171469,0.0001586645,0.0000515971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115696,"about_ca_system_score_gemma":0.00001060149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004000018,"about_ca_topic_score_gemma":0.00004016453,"domain_scores_codex":[0.9985258,0.0002496502,0.0002902685,0.0004476282,0.0002771798,0.0002094655],"domain_scores_gemma":[0.9993513,0.0000324875,0.000151705,0.000345895,0.00004713677,0.00007143131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001510394,0.0003484935,0.06699833,0.00005954891,0.00006121284,0.000006417041,0.000417719,0.0003260588,0.00002893188,0.005942381,0.001484096,0.9241758],"study_design_scores_gemma":[0.0003955959,0.0000059719,0.98607,0.000008486853,0.00002637184,0.000007114812,0.001051435,0.00001805079,9.695235e-7,0.003348892,0.008890334,0.0001768041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888133,0.00009876817,0.002197711,0.0009448049,0.002792315,0.0003491339,0.000004175383,0.0001298865,0.004669894],"genre_scores_gemma":[0.9968247,0.00003210874,0.0002480141,0.0007027457,0.0001763022,0.0003766924,0.00006873913,0.00001624642,0.001554386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.923999,"threshold_uncertainty_score":0.6122242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1957092433875088,"score_gpt":0.3587238329080197,"score_spread":0.1630145895205109,"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."}}