{"id":"W4322492086","doi":"10.32920/22183753.v1","title":"Industry perspectives on carbon offset programs in Canada and the United States.pdf","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Carbon offset; Confusion; Purchasing; Transparency (behavior); Business; Salient; Marketing; Climate change; Standardization; Carbon footprint; Hospitality; Accounting; Public relations; Greenhouse gas; Political science; Psychology; Tourism","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":[0.002230763,0.0003508748,0.0001692783,0.002017415,0.0199352,0.008818708,0.0009299368,0.002716343,0.01136005],"category_scores_gemma":[0.002077631,0.0002518943,0.0003344954,0.00401529,0.003290814,0.001683923,0.002537237,0.002921121,0.0003606108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08999387,"about_ca_system_score_gemma":0.1824506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886376,"about_ca_topic_score_gemma":0.9939448,"domain_scores_codex":[0.9957112,0.0004656709,0.00004182897,0.0001072941,0.001442247,0.002231728],"domain_scores_gemma":[0.9960232,0.0006886546,0.0001275856,0.00003014467,0.001582481,0.001547884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002276199,0.0004880976,0.06601736,0.0007512494,0.00004581567,0.005793379,0.1974081,0.001819356,0.007589077,0.1947405,0.2699395,0.2551799],"study_design_scores_gemma":[0.000009547533,0.00004281863,0.04351018,0.0003292726,0.00001189375,0.0001320867,0.278289,0.0003141976,0.0007325435,0.001636502,0.6749371,0.00005483035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3234684,0.01427581,0.0008825495,0.2095394,0.0007313641,0.0001352822,0.001092906,0.0000767188,0.4497975],"genre_scores_gemma":[0.8489859,0.01371706,0.00141759,0.02193853,0.00009395086,0.00006746973,0.0005927398,0.00005454692,0.1131322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08999387,"threshold_uncertainty_score":0.6529543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066398754578167,"score_gpt":0.2855149962291676,"score_spread":0.2448510086833859,"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."}}