{"id":"W2196417207","doi":"10.5539/eer.v5n2p22","title":"An Analysis on the Coordination Development of Low-carbon Economy in Mongolia","year":2015,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Fossil fuel; Carbon dioxide; Coal; Energy consumption; Natural resource economics; Low-carbon economy; Environmental science; Consumption (sociology); Carbon fibers; Carbon-neutral fuel; Natural gas; Economics; Ecology; Waste management; Chemistry; Computer science; Syngas","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":[0.0003160429,0.0001293403,0.0001813465,0.0007488129,0.0006938844,0.001008149,0.0003120295,0.0003016375,0.002886301],"category_scores_gemma":[0.0005251572,0.0001225908,0.0003523654,0.0007783259,0.0002377366,0.0004482308,0.000604838,0.0002387656,0.00008874788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0028274,"about_ca_system_score_gemma":0.002062091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1064024,"about_ca_topic_score_gemma":0.07628076,"domain_scores_codex":[0.9998375,0.00002840154,0.00000937369,0.00002010871,0.00001875424,0.00008584526],"domain_scores_gemma":[0.999756,0.00003317876,0.00005818946,0.000007763472,0.00007980416,0.00006504468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002029242,0.0001632065,0.8118893,0.000317942,0.0003646468,0.004816695,0.004694438,0.04909834,0.00257325,0.09979438,0.004621644,0.02146317],"study_design_scores_gemma":[0.00003979717,0.0001325992,0.8769707,0.00009562125,0.0002552895,0.0004511807,0.01308136,0.08744622,0.001116488,0.00680189,0.013574,0.00003491603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933468,0.000278019,0.0004225197,0.0004436431,0.000005714674,0.00001274516,0.0001331603,0.000005370979,0.005352066],"genre_scores_gemma":[0.9981791,0.0002087666,0.0001151236,0.00001493742,0.000002265321,0.000003890384,0.0001132002,0.000001218576,0.00136151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1064024,"threshold_uncertainty_score":0.2115662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03817298595495104,"score_gpt":0.281578342330316,"score_spread":0.2434053563753649,"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."}}