{"id":"W4236859592","doi":"10.21203/rs.3.rs-127928/v1","title":"Demand-side solutions to climate change mitigation consistent with high levels of wellbeing","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Counterfactual thinking; Demand side; Supply side; Climate change; Environmental economics; Business; Economics; Public economics; Natural resource economics; Environmental resource management; Risk analysis (engineering); Microeconomics; Psychology; Ecology","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":[0.001590452,0.0002000798,0.0002845225,0.0001319192,0.000354826,0.00008077646,0.0003153345,0.0001608386,0.002189753],"category_scores_gemma":[0.000242753,0.0001866333,0.00009825087,0.0004376676,0.0005470003,0.0001541136,0.002131694,0.0005902826,0.000114345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133641,"about_ca_system_score_gemma":0.0001357937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002285062,"about_ca_topic_score_gemma":0.0009919264,"domain_scores_codex":[0.9965431,0.000546819,0.0003409495,0.0007093755,0.001180795,0.0006789653],"domain_scores_gemma":[0.9985447,0.00015843,0.0001048151,0.0007760554,0.0001032054,0.000312778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002873017,0.003125625,0.8478835,0.005876919,0.0001906029,0.0001566856,0.03917669,0.03946845,0.02677586,0.004074274,0.001779676,0.03120445],"study_design_scores_gemma":[0.0001872991,0.0001502873,0.9857247,0.0005147785,0.00001669691,0.00000392932,0.008026856,0.0002219534,0.00376908,0.000683587,0.0004609111,0.0002399506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915206,0.0001410485,0.000328724,0.003771089,0.00009763835,0.001686766,0.0001334636,0.00002606384,0.002294586],"genre_scores_gemma":[0.9961111,0.0001405449,0.002618053,0.0001259402,0.00004833634,0.0005626053,0.0001006834,0.00002506407,0.0002676705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1378412,"threshold_uncertainty_score":0.9987224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07160322106870817,"score_gpt":0.3576278332791926,"score_spread":0.2860246122104845,"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."}}