{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003163036,0.00008784227,0.00005475319,0.001124032,0.0005624169,0.001200919,0.0001709898,0.0002425303,0.003991827],"category_scores_gemma":[0.0007478947,0.00006854022,0.0002262425,0.0009150107,0.0003568157,0.0004765149,0.0005394591,0.0003749954,0.0001931723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907303,"about_ca_system_score_gemma":0.001515684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0181624,"about_ca_topic_score_gemma":0.04390855,"domain_scores_codex":[0.9996175,0.00004115356,0.00001022265,0.00002196609,0.0002003006,0.0001088566],"domain_scores_gemma":[0.9997398,0.00005031879,0.00004660959,0.00001274833,0.00009581395,0.00005467036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002899362,0.0004573869,0.3533465,0.0002683705,0.00008518935,0.001991889,0.001162205,0.01469761,0.004576696,0.5269766,0.01610743,0.08004017],"study_design_scores_gemma":[0.00001383256,0.00007748253,0.7692181,0.0001503977,0.00006374025,0.0003837293,0.003865487,0.01523301,0.003660918,0.04269394,0.1646093,0.00002996913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.747691,0.003118177,0.0009983055,0.002506696,0.00004901195,0.00003975985,0.0007387795,0.00001078994,0.2448474],"genre_scores_gemma":[0.9855069,0.0008888944,0.0001750233,0.00006561403,0.00002187296,0.000007482864,0.0001821326,0.000002510364,0.01314954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0181624,"threshold_uncertainty_score":0.03611338,"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."}}