{"id":"W2801662373","doi":"10.13031/trans.12407","title":"Development of a Framework for the Assessment of Energy Demand-Based Greenhouse Gas Mitigation Options for the Agriculture Sector","year":2018,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Cenovus Energy","keywords":"Greenhouse gas; Agriculture; Renewable energy; Climate change mitigation; Environmental science; Time horizon; Energy consumption; Environmental economics; Natural resource economics; Environmental engineering; Engineering; Business; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006099137,0.001887113,0.00119577,0.002618498,0.0009926127,0.003431109,0.003099776,0.002248697,0.006898701],"category_scores_gemma":[0.004778713,0.0009831092,0.002246558,0.001690526,0.001390759,0.002597464,0.002827755,0.002256343,0.0009980563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005989251,"about_ca_system_score_gemma":0.008508096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03121697,"about_ca_topic_score_gemma":0.02562409,"domain_scores_codex":[0.9979109,0.001074539,0.000105142,0.000159393,0.0005796546,0.0001702792],"domain_scores_gemma":[0.9983542,0.000716329,0.0001561619,0.0001181426,0.000554146,0.0001010598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000148283,0.00007435782,0.0004724639,0.0001360748,0.00005446312,0.0001572202,0.00006836498,0.8524729,0.0007180821,0.1332335,0.002374695,0.0102229],"study_design_scores_gemma":[0.00002422521,0.00005396729,0.0002836272,0.0001448314,0.00002162944,0.00004042206,0.0001521803,0.897894,0.0004659098,0.08681973,0.01406377,0.0000356928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01199924,0.0005917072,0.9450042,0.001719755,0.0001100671,0.0007906617,0.001731214,0.0005407265,0.03751233],"genre_scores_gemma":[0.2596844,0.001084036,0.729426,0.0002626322,0.00008579202,0.001944697,0.001774229,0.000181563,0.005556535],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03121697,"threshold_uncertainty_score":0.06207055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387053655439633,"score_gpt":0.2661044043962926,"score_spread":0.2522338678418963,"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."}}