{"id":"W2947975986","doi":"10.5539/eer.v9n1p23","title":"Analysis of Energy Consumption and Electricity Alternative Potential in Northern Hebei Province","year":2019,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Consumption (sociology); Coal; Energy consumption; Electricity generation; Natural resource economics; Pollution; Environmental science; Business; Environmental economics; Economics; Power (physics); Waste management; Ecology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001283181,0.00012904,0.0001341007,0.001351244,0.0004068594,0.000373613,0.0001798113,0.0001232021,0.001438235],"category_scores_gemma":[0.0001945644,0.0001180011,0.0001980066,0.002730116,0.0002066168,0.0002539924,0.0001746412,0.0001116684,0.00009503607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003390753,"about_ca_system_score_gemma":0.001450007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3533238,"about_ca_topic_score_gemma":0.4914586,"domain_scores_codex":[0.9998918,0.00001011818,0.000006364052,0.00001760569,0.00003791492,0.00003634407],"domain_scores_gemma":[0.9998964,0.00001767849,0.00001770118,0.000004308905,0.00004657179,0.00001725152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000206868,0.00007618383,0.9399952,0.0001163835,0.0001105373,0.0009847456,0.002495411,0.01538615,0.004269173,0.005464369,0.001539324,0.02935572],"study_design_scores_gemma":[0.000002472987,0.00001420374,0.991192,0.000007809,0.00001471228,0.00006529479,0.001791769,0.004903448,0.0002625817,0.000244985,0.001493123,0.000007470098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997437,0.0001159855,0.0001144893,0.00002862764,9.352009e-7,0.000002608303,0.0003266252,0.000002926052,0.001970724],"genre_scores_gemma":[0.9983972,0.0001027127,0.00006938512,0.00000380513,9.292026e-7,0.000002153775,0.0002945785,0.000001000401,0.001128266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3533238,"threshold_uncertainty_score":0.7025346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438923856686094,"score_gpt":0.2502061102047339,"score_spread":0.235816871637873,"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."}}