{"id":"W2790933536","doi":"10.11575/prism/34273","title":"Alberta's CO2 Reduction Strategy - Assessing the Environmental Integrity of Emissions Trading Schemes","year":2014,"lang":"en","type":"article","venue":"Open MIND","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; University of Calgary","keywords":"Reduction (mathematics); Emissions trading; Business; Natural resource economics; Environmental economics; Environmental science; Risk analysis (engineering); Greenhouse gas; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004643877,0.0000446515,0.00007253524,0.00001094974,0.0004071817,0.0001361004,0.0002734657,0.0000476757,0.001513401],"category_scores_gemma":[0.0001543626,0.00003517255,0.000027124,0.00007075508,0.000242022,0.0002951339,0.00002868736,0.0001163461,0.00001777139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006652129,"about_ca_system_score_gemma":0.0001580919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08633899,"about_ca_topic_score_gemma":0.02145863,"domain_scores_codex":[0.9994133,0.00012017,0.0001037523,0.0001096764,0.0001239244,0.0001291481],"domain_scores_gemma":[0.9996147,0.0001088731,0.0000940888,0.0001074345,0.000004648029,0.00007031333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001916562,0.00018981,0.004322958,0.000007868534,0.00004983557,0.000001696355,0.06469307,0.00002774404,0.04389871,0.02822084,0.02386263,0.8347057],"study_design_scores_gemma":[0.0001404554,0.00001991669,0.008679184,0.00004714631,0.00001505365,0.00000276705,0.008958632,0.0002138762,0.009033305,0.00100362,0.9717773,0.0001087665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8845899,0.000019112,0.00001709387,0.003175392,0.00006509734,0.0001059813,0.00001514286,3.685653e-7,0.112012],"genre_scores_gemma":[0.990366,0.000009161772,0.0002297409,0.0000397558,0.0001220347,0.000002201525,0.000002096748,0.000002864748,0.009226136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9479147,"threshold_uncertainty_score":0.9993994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05763148331411543,"score_gpt":0.3618920865380198,"score_spread":0.3042606032239044,"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."}}