{"id":"W6884981675","doi":"10.13140/rg.2.2.11668.40325","title":"MACROSCALE ENERGY MODELLING OF A COUNTRY-CANADA","year":2017,"lang":"en","type":"article","venue":"","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":[0.0002362401,0.0005817406,0.0008313686,0.0007569859,0.002378767,0.002804693,0.002242776,0.001512019,0.008180788],"category_scores_gemma":[0.0008533949,0.0005170704,0.001072721,0.00315755,0.0009636222,0.001057798,0.0008312089,0.001275762,0.0006641539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02559621,"about_ca_system_score_gemma":0.0227045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990719,"about_ca_topic_score_gemma":0.9896573,"domain_scores_codex":[0.9997684,0.0000265382,0.000008478625,0.0000513601,0.0000594569,0.00008568679],"domain_scores_gemma":[0.9995916,0.00007335617,0.00001854372,0.00002380527,0.0002003522,0.00009231045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001077163,0.00009340189,0.01073183,0.00006033563,0.0000602503,0.0001516826,0.0001233752,0.9673383,0.0004669924,0.009476032,0.005644395,0.005745671],"study_design_scores_gemma":[0.00006727608,0.00002327227,0.01290527,0.00003228034,0.00004856943,0.00003659838,0.0007104992,0.9706198,0.0005486572,0.002044106,0.01289662,0.00006694558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813329,0.001092127,0.00971398,0.002543417,0.00016606,0.0001005164,0.01522654,0.0004833952,0.08934097],"genre_scores_gemma":[0.9765664,0.0005456166,0.003629244,0.0001328255,0.0000121229,0.00004217941,0.00228398,0.0001270715,0.01666046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02559621,"threshold_uncertainty_score":0.1857143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038391946383337,"score_gpt":0.2554779439249711,"score_spread":0.2350940244611378,"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."}}