{"id":"W2239396529","doi":"","title":"Economic and Environmental Resolutions of Coal in Cement Industry","year":2015,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Demolition; Pollution; Environmental pollution; Environmental science; Waste management; China; Environmentally friendly; Natural resource economics; Business; Air pollution; Environmental engineering; Environmental economics; Environmental protection; Engineering; Civil engineering; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009299594,0.0001943315,0.0002523967,0.0005824825,0.00007712322,0.00004029974,0.0005605918,0.0000871528,0.000005549594],"category_scores_gemma":[0.0000872872,0.0001699843,0.00002274775,0.001020637,0.0008290823,0.002622609,0.0001683291,0.0005500665,0.000001551537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005427985,"about_ca_system_score_gemma":0.00009517562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007113859,"about_ca_topic_score_gemma":0.001524708,"domain_scores_codex":[0.9981167,0.00001679927,0.0004090781,0.0004327715,0.0004243348,0.0006002715],"domain_scores_gemma":[0.9995931,0.00008537972,0.00006950441,0.0001326081,0.00001026123,0.0001091698],"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":[0.00001452996,0.00002820796,0.04133137,0.00003087421,0.000001587931,0.000009133078,0.0004903253,0.9212798,0.003780738,0.003496092,0.000008664579,0.02952868],"study_design_scores_gemma":[0.002537782,0.0003714221,0.0513332,0.0005791127,0.000006832956,0.00005906134,0.007979025,0.8981147,0.01172667,0.01227654,0.01359431,0.001421324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360011,0.06000694,0.00003582102,0.00005090943,0.001953845,0.0001795144,0.000008883865,0.00003323471,0.001729766],"genre_scores_gemma":[0.9947433,0.003027143,0.002145222,0.00001206069,0.00003259642,0.00001509912,0.000002285775,0.000006785882,0.00001553319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05874218,"threshold_uncertainty_score":0.6931759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007974872034958065,"score_gpt":0.2490500145704364,"score_spread":0.2410751425354784,"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."}}