{"id":"W4401811252","doi":"10.55016/ojs/sppp.v15i1.74577","title":"Carbon Credit Systems in Alberta Agriculture","year":2023,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Carbon fibers; Natural resource economics; Business; Agricultural economics; Environmental science; Agroforestry; Economics; Geography; Computer science; Archaeology","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":[0.001120169,0.0002063381,0.000136222,0.001794382,0.003003443,0.003682246,0.001141961,0.00100194,0.01244713],"category_scores_gemma":[0.0021882,0.0001342703,0.0002159348,0.003462579,0.001449025,0.0008821927,0.001345909,0.0008375774,0.0004604847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04903967,"about_ca_system_score_gemma":0.04650082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9340432,"about_ca_topic_score_gemma":0.95932,"domain_scores_codex":[0.998718,0.0001439266,0.00002458711,0.00009484806,0.0006997717,0.0003188153],"domain_scores_gemma":[0.9984633,0.0002373475,0.000118921,0.00006029775,0.0007523004,0.0003679558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004341413,0.000392135,0.1429105,0.0004420009,0.00006096733,0.002484396,0.005679099,0.02990892,0.00381024,0.4403584,0.07424966,0.2992696],"study_design_scores_gemma":[0.00006839167,0.0001129566,0.2177998,0.0003256073,0.00004245766,0.0004181953,0.009373972,0.01559927,0.001331197,0.03155912,0.723226,0.000143036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.436155,0.004495044,0.004438912,0.0112076,0.0002426597,0.0003960193,0.003739116,0.0002943302,0.5390313],"genre_scores_gemma":[0.9075151,0.001791286,0.003396197,0.0007404071,0.00004666784,0.00005835517,0.001772562,0.00003819274,0.08464126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06595683,"threshold_uncertainty_score":0.3558094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481419477379932,"score_gpt":0.2545782347275667,"score_spread":0.2197640399537674,"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."}}