{"id":"W2090944614","doi":"10.1002/er.1676","title":"Greenhouse gas emission intensity factors for marginal electricity generation in Canada","year":2010,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Greenhouse gas; Electricity generation; Environmental science; Electricity; Intensity (physics); Emission intensity; Engineering; Physics; Electrical engineering; Thermodynamics; Geology; Power (physics); Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009703391,0.00008515566,0.0001232837,0.0001356037,0.00007980395,0.00003667099,0.0004549189,0.0000543231,0.0005869457],"category_scores_gemma":[0.0007971029,0.00006911129,0.00005806301,0.0001513913,0.0001005263,0.0002727592,0.0001400562,0.0004646455,0.000001417489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203213,"about_ca_system_score_gemma":0.0003407689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.498667,"about_ca_topic_score_gemma":0.7632166,"domain_scores_codex":[0.9981295,0.00008565155,0.0003057267,0.0001475874,0.001046543,0.0002849966],"domain_scores_gemma":[0.999266,0.0001866089,0.0001054948,0.0001078589,0.000167735,0.0001663501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003828756,0.0002202903,0.8747602,0.000002237049,0.00002071757,0.00008144938,0.0001263104,0.001261812,0.1042647,0.0001533477,0.007230852,0.01149529],"study_design_scores_gemma":[0.001219974,0.0003857356,0.7786193,0.00001207305,0.000005453298,0.0001098577,0.0004507789,0.01246439,0.1808804,0.004682393,0.02093945,0.0002301005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979643,0.000007230684,0.0002706538,0.000825863,0.0003674867,0.00006347438,0.000005213443,0.000001644466,0.0004942004],"genre_scores_gemma":[0.9989541,0.00002961686,0.0002895582,0.00007410898,0.0001962356,0.000003458174,0.000008310937,0.000008311348,0.0004363595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2645496,"threshold_uncertainty_score":0.6426644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154703335638588,"score_gpt":0.319112962150384,"score_spread":0.2875659287939981,"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."}}