{"id":"W2135130554","doi":"10.1504/ijgenvi.2012.047876","title":"Life satisfaction and environmental conditions: issues for policy","year":2012,"lang":"en","type":"article","venue":"International Journal of Global Environmental Issues","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Life satisfaction; Per capita; Per capita income; Economics; Pollution; Globe; Empirical research; Natural resource economics; Economic growth; Public economics; Environmental health; Psychology; Sociology; Population","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002245262,0.0001726439,0.0002053035,0.00008477252,0.00008193152,0.00004309932,0.0001478044,0.0001244953,0.001197657],"category_scores_gemma":[0.00008641162,0.000156991,0.0001306945,0.00003463596,0.0001956668,0.0004358148,0.00004681004,0.0001348226,0.0001493583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003818919,"about_ca_system_score_gemma":0.0000115866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261386,"about_ca_topic_score_gemma":0.000002986739,"domain_scores_codex":[0.9986681,0.00009037862,0.0004363234,0.0001699042,0.0003796472,0.0002556334],"domain_scores_gemma":[0.9991963,0.0000732734,0.0003276366,0.0001011074,0.00001105146,0.0002906297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005715541,0.0006646194,0.9237806,0.000004275491,0.0006538613,0.00001625522,0.0009177887,0.0000228094,0.00475072,0.01858077,0.01814616,0.0318906],"study_design_scores_gemma":[0.00124012,0.0003000016,0.9075628,0.00001889803,0.00004812789,0.0004716142,0.001580155,0.000006692188,0.000167172,0.004183836,0.08425401,0.0001665612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838681,0.006003097,0.000314146,0.004446672,0.002744407,0.0001710854,0.0004496569,0.00002091266,0.00198194],"genre_scores_gemma":[0.9945319,0.00104126,0.0005769113,0.0009986695,0.002313823,0.00001270604,0.00005303228,0.00001378798,0.0004578707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06610785,"threshold_uncertainty_score":0.9997154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176825801656881,"score_gpt":0.3678495885591729,"score_spread":0.3501670083934849,"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."}}