{"id":"W2394850188","doi":"10.1108/ijccsm-04-2015-0040","title":"Developing Alberta’s greenhouse gas offset system within Canadian and international policy contexts","year":2016,"lang":"en","type":"article","venue":"International Journal of Climate Change Strategies and Management","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"","keywords":"Climate change; Greenhouse gas; Corporate governance; Policy analysis; Government (linguistics); Context (archaeology); Climate change mitigation; Public policy; National Policy; Environmental resource management; Political science; Economics; Natural resource economics; Public administration; Economic growth; Geography; International trade; Finance","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":[0.005703822,0.000444709,0.0003160643,0.004305279,0.01000135,0.009182138,0.002162302,0.001139849,0.00330208],"category_scores_gemma":[0.006684272,0.0002698378,0.0004724293,0.006329662,0.002731028,0.001659471,0.002591267,0.0012391,0.0002294244],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2220733,"about_ca_system_score_gemma":0.4036328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946868,"about_ca_topic_score_gemma":0.9971149,"domain_scores_codex":[0.9956816,0.0006140405,0.0001178735,0.0003552286,0.001830877,0.001400325],"domain_scores_gemma":[0.9943422,0.0005706936,0.0002513981,0.0001552325,0.003700925,0.0009795878],"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":[0.0001838848,0.0001452331,0.09742996,0.00117964,0.0001504044,0.002241241,0.02243515,0.03191964,0.003155117,0.5631942,0.07156304,0.2064025],"study_design_scores_gemma":[0.00006034536,0.0001400423,0.1715452,0.001463625,0.0002562117,0.000409429,0.06640682,0.01256357,0.003038513,0.02618845,0.7176408,0.000287042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3417963,0.01194091,0.01999956,0.04180969,0.0007360872,0.001209821,0.004202384,0.0007604423,0.5775447],"genre_scores_gemma":[0.8767726,0.007817044,0.05106717,0.003501968,0.00008486308,0.0002822348,0.00306041,0.0001130917,0.05730058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7779267,"threshold_uncertainty_score":0.9022847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0879935090753435,"score_gpt":0.2879634918859588,"score_spread":0.1999699828106153,"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."}}