{"id":"W2264145732","doi":"10.2139/ssrn.2560656","title":"Stacking of Multiple Environmental Credits: An Alberta Discussion Paper","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stacking; Environmental science; Chemistry","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":[0.01159238,0.0006011277,0.0007891572,0.001114437,0.01134847,0.0124835,0.003595476,0.01374618,0.051125],"category_scores_gemma":[0.03280446,0.0005815598,0.0008623034,0.003128607,0.003521631,0.008271266,0.003506546,0.008795432,0.002774935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03024708,"about_ca_system_score_gemma":0.04039704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7192585,"about_ca_topic_score_gemma":0.8212126,"domain_scores_codex":[0.9935161,0.001264301,0.0001709929,0.0005864948,0.002694896,0.001767222],"domain_scores_gemma":[0.9766792,0.01288844,0.0008237229,0.001335464,0.005770826,0.002502328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003982398,0.0002276376,0.008346931,0.0001337263,0.000101403,0.0004579884,0.003402384,0.003734157,0.0003041298,0.3050743,0.6254718,0.05234725],"study_design_scores_gemma":[0.0003508241,0.0001047027,0.01953006,0.0005511469,0.0002790525,0.00009212735,0.01501187,0.00329635,0.001370881,0.1287381,0.8304541,0.0002207667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07670669,0.00558347,0.003176305,0.3702323,0.00429964,0.0001274736,0.001425007,0.0001486006,0.5383005],"genre_scores_gemma":[0.6395264,0.003429029,0.0022161,0.04175542,0.002939555,0.0000989312,0.0007780629,0.0003065925,0.30895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2807415,"threshold_uncertainty_score":0.5647895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004888025393928009,"score_gpt":0.19633427201957,"score_spread":0.191446246625642,"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."}}