{"id":"W2802689193","doi":"10.1139/tcsme-2012-0010","title":"CALCULATION AND APPLICATION OF HOURLY EMISSION FACTORS FOR INCREASED ACCURACY IN SCOPE TWO EMISSION CALCULATIONS","year":2012,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara College","funders":"","keywords":"Scope (computer science); Renewable energy; Greenhouse gas; Electricity; Environmental science; Grid; Scale (ratio); Environmental economics; Computer science; Engineering; Mathematics; Electrical engineering; Physics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002370571,0.0007118125,0.0005588282,0.001401997,0.0004813627,0.001066909,0.001136445,0.0005800649,0.001932363],"category_scores_gemma":[0.01049999,0.0003792381,0.0006359081,0.001540472,0.0002616193,0.001314093,0.0008204686,0.0009893347,0.0005752178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006347537,"about_ca_system_score_gemma":0.001004936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007335361,"about_ca_topic_score_gemma":0.01092969,"domain_scores_codex":[0.9972672,0.0005738454,0.0001942515,0.0003435001,0.001510645,0.0001105169],"domain_scores_gemma":[0.9960145,0.001265064,0.0002967286,0.0009481587,0.00143694,0.0000386877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001952087,0.0002384548,0.02559215,0.0005066415,0.0001384254,0.0002258887,0.0006999439,0.3986864,0.06848516,0.02221111,0.005025435,0.4779952],"study_design_scores_gemma":[0.00007686613,0.0002870179,0.03006368,0.000127106,0.00008341997,0.0002343729,0.0002932141,0.7800956,0.1321067,0.01169315,0.04473219,0.000206654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04175449,0.0001791092,0.9491125,0.00008400926,0.0001273329,0.0001386523,0.0005655336,0.001172062,0.006866462],"genre_scores_gemma":[0.4123869,0.0002997462,0.5838342,0.0000477038,0.00003204228,0.0002660306,0.0007642483,0.0004770904,0.001892057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007335361,"threshold_uncertainty_score":0.01458532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009316009128460997,"score_gpt":0.2437240418351397,"score_spread":0.2344080327066787,"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."}}