{"id":"W2805076395","doi":"10.1016/j.jclepro.2018.05.068","title":"Comparing the relative mitigation potential of individual pro-environmental behaviors","year":2018,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; University of Victoria","keywords":"Greenhouse gas; Climate change; Environmental science; Climate change mitigation; Natural resource economics; Global warming; Consumption (sociology); Environmental protection; Business; Environmental engineering; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001138974,0.000247684,0.0002269853,0.0003944619,0.0001863515,0.0005454316,0.0002908852,0.0004500322,0.00372846],"category_scores_gemma":[0.005148943,0.0001109301,0.0004511416,0.0002918931,0.0002264795,0.0005165524,0.0004576063,0.0003999324,0.0002723062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002023286,"about_ca_system_score_gemma":0.0003237638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001588636,"about_ca_topic_score_gemma":0.002863958,"domain_scores_codex":[0.9994876,0.0002056085,0.00002688238,0.00008705073,0.00009489471,0.00009784931],"domain_scores_gemma":[0.9974268,0.001534784,0.0003728474,0.0002060764,0.0002427643,0.0002165931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01312282,0.004215142,0.7317032,0.0003570216,0.002100356,0.0001210709,0.001163734,0.02328018,0.04210186,0.004971656,0.0006042512,0.1762587],"study_design_scores_gemma":[0.0001233354,0.005231211,0.9595575,0.00004326821,0.0007872261,0.0001076421,0.001996093,0.01289504,0.01352459,0.00357706,0.002113154,0.00004387496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972996,0.00006634702,0.0004335348,0.00005988857,0.000006647176,0.000008002066,0.0001084196,0.000008474304,0.002009107],"genre_scores_gemma":[0.998861,0.00003523712,0.0003820905,0.00001227218,0.000002716936,0.000009603482,0.00008844168,0.000002476577,0.0006062272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00372846,"threshold_uncertainty_score":0.01247293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258153902836963,"score_gpt":0.2515957761704632,"score_spread":0.2390142371420936,"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."}}