{"id":"W4287099045","doi":"10.2139/ssrn.4167273","title":"How Does Personalized Feedback on Carbon Emissions Impact Intended Climate Action?","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Greenhouse gas; Action (physics); Climate change; Carbon fibers; Environmental science; Natural resource economics; Environmental economics; Business; Environmental resource management; Economics; Computer science; Ecology; Biology","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":[0.002860375,0.0003704992,0.000291154,0.0003974758,0.0004820493,0.002714554,0.0005119904,0.001627527,0.02004159],"category_scores_gemma":[0.02761192,0.0001933785,0.0003568782,0.0004425369,0.0004080826,0.002298487,0.0009132304,0.001084685,0.002436539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009622363,"about_ca_system_score_gemma":0.001030676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00381787,"about_ca_topic_score_gemma":0.004113313,"domain_scores_codex":[0.9981148,0.001021921,0.00006315167,0.0002456337,0.0003538399,0.0002005374],"domain_scores_gemma":[0.9797168,0.01595265,0.001217074,0.0008504984,0.001440197,0.0008228194],"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":[0.005103894,0.007111764,0.166702,0.001048294,0.0006283359,0.0006420903,0.005949728,0.04177444,0.01445573,0.02444431,0.03374803,0.6983915],"study_design_scores_gemma":[0.0009827756,0.004284109,0.5530574,0.000965938,0.001855029,0.0005627232,0.01506149,0.1462319,0.03448638,0.1350105,0.1070425,0.0004593652],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8624714,0.0006805209,0.01562884,0.01308659,0.0008325129,0.0001219372,0.000862623,0.001223732,0.1050918],"genre_scores_gemma":[0.9938041,0.0001651876,0.001866648,0.0005969782,0.00006042822,0.00002597917,0.0001009529,0.00005865227,0.003321035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02004159,"threshold_uncertainty_score":0.06704581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007987651269121404,"score_gpt":0.2710946840347929,"score_spread":0.2631070327656715,"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."}}