{"id":"W4398773068","doi":"10.1101/2024.05.23.24307792","title":"Exploring the Relationship Between Global Well-being and CO <sub>2</sub> Emissions","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108745,0.0002006166,0.0001822128,0.0006950549,0.0001769898,0.0007038027,0.00009624777,0.0001366478,0.003292668],"category_scores_gemma":[0.002671982,0.00009546032,0.0003683968,0.001094191,0.0004618876,0.0005427105,0.0008428114,0.0003302273,0.0001859199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092335,"about_ca_system_score_gemma":0.0001910821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416327,"about_ca_topic_score_gemma":0.002133756,"domain_scores_codex":[0.9996842,0.0001721977,0.00001643441,0.00004549306,0.00003470031,0.00004704265],"domain_scores_gemma":[0.9982321,0.001032358,0.0003907397,0.0001331254,0.0000977072,0.0001140145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006837723,0.00004057035,0.9803867,0.00004720906,0.0001433343,0.00004800809,0.001386034,0.0007685472,0.0006111504,0.001035257,0.0001847134,0.01528014],"study_design_scores_gemma":[0.000001026821,0.00006010237,0.9962992,0.000006637158,0.00002905718,0.00002782146,0.001656494,0.0004536713,0.000198007,0.0005650693,0.000697814,0.000005287064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961034,0.0001230584,0.001112001,0.00008328391,0.000003652107,0.000008073565,0.0003592247,0.000005663964,0.002201671],"genre_scores_gemma":[0.9992722,0.00005602404,0.0002827694,0.00001207977,0.000003452343,0.000008810688,0.0001696905,0.000002132644,0.0001928092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003292668,"threshold_uncertainty_score":0.01101512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1332850060476971,"score_gpt":0.3618051122070563,"score_spread":0.2285201061593592,"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."}}