{"id":"W4322493004","doi":"10.32920/22183753","title":"Industry perspectives on carbon offset programs in Canada and the United States.pdf","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Carbon offset; Confusion; Purchasing; Salient; Transparency (behavior); Business; Climate change; Marketing; Standardization; Carbon footprint; Hospitality; Accounting; Public relations; Greenhouse gas; Political science; Tourism; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002460766,0.0003945186,0.000173834,0.002160072,0.01931449,0.009630851,0.00104313,0.00324138,0.01271383],"category_scores_gemma":[0.002331957,0.0002797292,0.0003623577,0.004386512,0.003075102,0.001860138,0.002474963,0.003116614,0.0004105355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09352443,"about_ca_system_score_gemma":0.2009721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889099,"about_ca_topic_score_gemma":0.9941532,"domain_scores_codex":[0.9952193,0.0004817398,0.00004842333,0.000121891,0.001701415,0.002427195],"domain_scores_gemma":[0.9957649,0.0007446054,0.0001183083,0.00003219784,0.00181764,0.001522359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000211853,0.0004842991,0.04851146,0.0008048757,0.00004366635,0.005313959,0.1251081,0.002227256,0.00669971,0.2018444,0.3529606,0.2557898],"study_design_scores_gemma":[0.00001034229,0.00003953496,0.0311968,0.0003392236,0.00001225363,0.0001238735,0.1822685,0.0003372093,0.0007146234,0.00177417,0.7831329,0.00005051176],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2178885,0.01755061,0.001057641,0.2543114,0.0008623966,0.000167132,0.001292205,0.00009645961,0.5067737],"genre_scores_gemma":[0.7848059,0.01992093,0.00236754,0.03376003,0.0001339786,0.00009638179,0.000934164,0.00007413545,0.157907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09352443,"threshold_uncertainty_score":0.6785704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767776324914517,"score_gpt":0.2592576605141315,"score_spread":0.2315798972649863,"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."}}