{"id":"W2980713645","doi":"10.5167/uzh-175378","title":"Overview and comparison of existing carbon crediting schemes","year":2019,"lang":"en","type":"article","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Klima- og miljødepartementet; California Air Resources Board; Energimyndigheten; Bundesamt für Umwelt; Joint Information Systems Committee; Ulkoministeriö; European Commission; U.S. Department of Energy","keywords":"Operationalization; Context (archaeology); Corporate governance; Kyoto Protocol; Scope (computer science); Business; Negotiation; Accounting; Actuarial science; Economics; Finance; Greenhouse gas; Political science; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009430827,0.0005523291,0.0004900453,0.00757864,0.001900831,0.00504416,0.001942079,0.001531468,0.01097561],"category_scores_gemma":[0.01827944,0.0003845282,0.0007769383,0.01422426,0.002425974,0.004109898,0.002800701,0.001884147,0.001170248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00739982,"about_ca_system_score_gemma":0.008509923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060121,"about_ca_topic_score_gemma":0.005359401,"domain_scores_codex":[0.9899958,0.001637137,0.0009998602,0.001035346,0.005195982,0.00113577],"domain_scores_gemma":[0.9900327,0.003230985,0.00147872,0.001802347,0.00289232,0.0005630084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003034225,0.0002357206,0.01467357,0.001676763,0.00006595605,0.0001610517,0.001202558,0.006255988,0.00121861,0.6369386,0.01310494,0.3241628],"study_design_scores_gemma":[0.0001280315,0.0005510198,0.04957153,0.001925992,0.0001376119,0.0005305745,0.001478557,0.0066137,0.004357352,0.07194202,0.8625749,0.000188755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2160131,0.03141981,0.08028948,0.006364218,0.0009341498,0.00266496,0.008317681,0.001405857,0.6525907],"genre_scores_gemma":[0.871178,0.01754416,0.05863329,0.001092154,0.0003413637,0.001545748,0.006437013,0.0003021976,0.04292602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01097561,"threshold_uncertainty_score":0.05368966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142000585813131,"score_gpt":0.2786770257238074,"score_spread":0.1366764399106764,"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."}}