{"id":"W2889350415","doi":"10.1088/1757-899x/397/1/012108","title":"Investigation of energy consumption and renewable energy resources in top ten countries with most energy consumption","year":2018,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; Renewable energy; Agricultural economics; Consumption (sociology); Population; Gross domestic product; Geography; China; Energy intensity; Environmental science; Demography; Engineering; Economics; Economic growth","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":[0.0002094415,0.000159143,0.0001743286,0.002629467,0.0002556501,0.0007207086,0.0001541444,0.0001338355,0.002117624],"category_scores_gemma":[0.0005378513,0.00009322386,0.0002920938,0.004735306,0.0001347854,0.0003615885,0.0003006456,0.0001760213,0.0003923401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000309223,"about_ca_system_score_gemma":0.000300926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008584511,"about_ca_topic_score_gemma":0.01541086,"domain_scores_codex":[0.9998057,0.00002240013,0.00002997409,0.00002606398,0.00007076274,0.00004504852],"domain_scores_gemma":[0.9994878,0.00009145051,0.0001823991,0.000022067,0.0001723259,0.00004401385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003812695,0.00004190658,0.9744895,0.0001754904,0.00007227921,0.0002383451,0.0004937035,0.0003922498,0.0005695809,0.0006446871,0.001882765,0.02096144],"study_design_scores_gemma":[0.0000012863,0.00002682558,0.9899664,0.00004816756,0.0000270075,0.0002609089,0.00345002,0.0003884682,0.0005129567,0.000101758,0.005208506,0.000007745485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822926,0.0008170347,0.0002370877,0.000128365,0.000007855525,0.00001906794,0.00651762,0.0000168148,0.009963558],"genre_scores_gemma":[0.9934603,0.0006469486,0.0005456288,0.0000317807,0.000005668871,0.00002008101,0.003728173,0.000005109724,0.001556276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008584511,"threshold_uncertainty_score":0.01706904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102595867841823,"score_gpt":0.1831650625451232,"score_spread":0.172139103866705,"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."}}