{"id":"W6920247380","doi":"10.6068/dp14bacda0c3e10","title":"Trend 1980 - 2010. Energy Information Administration. International Energy Statistics: Energy Intensity | Country: Canada | Indicator: Energy Intensity - Total Primary Energy Consumption per Dollar of GDP (Btu per Year 2005 U.S. Dollar, 1980-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-014-041.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy intensity; Energy consumption; Primary energy; Energy accounting; Production (economics); Consumption (sociology); Energy subsidies; Liberian dollar; Energy policy","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":[0.001098296,0.001989713,0.0019997,0.006005059,0.001453086,0.003293634,0.00345389,0.001034818,0.05656654],"category_scores_gemma":[0.00851247,0.001153749,0.001369292,0.0270417,0.00045323,0.002304945,0.001543014,0.002527656,0.05938175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01327795,"about_ca_system_score_gemma":0.02734652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.902398,"about_ca_topic_score_gemma":0.8990779,"domain_scores_codex":[0.9981561,0.000120985,0.0001866649,0.0003198003,0.0008345439,0.000381803],"domain_scores_gemma":[0.9863185,0.0005434739,0.0005784497,0.0006158696,0.01142775,0.0005159448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002154919,0.000008637176,0.0009572178,0.0002404455,0.00001840779,0.000005708747,0.00001193494,0.000128617,0.00001443639,0.0003451429,0.9967669,0.001481025],"study_design_scores_gemma":[0.00008979013,0.000009286014,0.01724014,0.0005152714,0.00002936743,0.00001590072,0.0002244641,0.000341596,0.0002000578,0.0005229335,0.9807674,0.00004370866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004017332,0.00002440958,0.00001471173,0.00003109734,0.0000127127,0.000006336725,0.9992672,0.00004218937,0.0005611365],"genre_scores_gemma":[0.0002637723,0.00007034031,0.0001079444,0.000026238,0.000005458368,0.00003874457,0.9983942,0.00003886933,0.001054378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09760201,"threshold_uncertainty_score":0.1963536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062388278967751,"score_gpt":0.241513089915471,"score_spread":0.2208892071257935,"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."}}