{"id":"W2060620513","doi":"10.1016/j.enpol.2010.12.007","title":"The challenge of meeting Canada’s greenhouse gas reduction targets","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Greenhouse gas; Electrification; Carbon capture and storage (timeline); Government (linguistics); Hydroelectricity; Low-carbon economy; Natural resource economics; Energy policy; Natural gas; Business; Order (exchange); Renewable energy; Engineering; Environmental economics; Climate change; Economics; Electricity; Waste management; Finance","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":[0.00009493924,0.0001246213,0.0001158018,0.00008656245,0.00009092394,0.000006872754,0.000155295,0.00007106658,0.0000142926],"category_scores_gemma":[0.00004186723,0.00009918938,0.00003174279,0.0001889574,0.00002909027,0.0000666342,0.00001524788,0.00007496654,0.000001607083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002041946,"about_ca_system_score_gemma":0.00017277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.839753,"about_ca_topic_score_gemma":0.6484869,"domain_scores_codex":[0.9992208,0.00003958687,0.0002604329,0.00009952452,0.0001349225,0.0002447175],"domain_scores_gemma":[0.9995335,0.00001608627,0.00006790828,0.0002532961,0.00007734256,0.0000518115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002548707,0.00003614213,0.00002028502,0.00005740697,0.0002415549,0.000008625511,0.003512732,0.6116198,0.003667549,0.3428704,0.01548032,0.02245979],"study_design_scores_gemma":[0.0008738099,0.0002014274,0.0003089525,0.0002662034,0.00006191357,0.00007177708,0.001593122,0.1932791,0.41368,0.005114546,0.3832941,0.001255083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02829152,0.003676541,0.005227311,0.001125076,0.003306669,0.0001676033,0.00001917509,0.0008155171,0.9573706],"genre_scores_gemma":[0.9976667,0.0005726693,0.0003090347,0.00001204288,0.0003643756,0.00001640148,0.000006377751,0.00004569601,0.001006753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9693751,"threshold_uncertainty_score":0.4044826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009673440203967338,"score_gpt":0.1826383938567582,"score_spread":0.1729649536527909,"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."}}