{"id":"W3047769084","doi":"10.1016/j.jenvp.2020.101469","title":"Pay more, fly more? Examining the potential guilt-reducing and flight-encouraging effect of an integrated carbon offset","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Psychology","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Carbon offset; Offset (computer science); Psychology; Greenhouse gas; Social psychology; Business; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008045787,0.000245568,0.0003764766,0.00005155381,0.0001207621,0.00001985188,0.0005674991,0.000109226,0.0008748654],"category_scores_gemma":[0.0001212333,0.0001505292,0.0001000303,0.0001398961,0.0009230435,0.0002696481,0.0002768393,0.000516829,0.000009851342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952381,"about_ca_system_score_gemma":0.00001099193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000728056,"about_ca_topic_score_gemma":0.000001982944,"domain_scores_codex":[0.9978486,0.0004285917,0.0006393091,0.0003786606,0.0004230354,0.0002818063],"domain_scores_gemma":[0.998738,0.00009584338,0.0004696547,0.0004234773,0.000003564234,0.0002694921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008700412,0.0006381757,0.4441499,0.00003981604,0.0001177678,0.0001222082,0.009389415,0.004540731,0.4694095,0.000001924612,0.001180976,0.06953952],"study_design_scores_gemma":[0.001487408,0.001886988,0.9791491,0.00001708241,0.0001065862,0.0003922947,0.006191817,0.002467408,0.006382219,0.00006273735,0.001620668,0.0002356908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941429,0.0001439393,0.0001120017,0.00474529,0.0002756004,0.0002310541,0.000008130506,0.000008014749,0.0003330639],"genre_scores_gemma":[0.9976735,0.00008237315,0.0008782129,0.00118479,0.0001101372,0.000004773232,0.000006323069,0.00002349303,0.00003643722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5349992,"threshold_uncertainty_score":0.9579163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009186852627283701,"score_gpt":0.2776228097058953,"score_spread":0.2684359570786116,"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."}}