{"id":"W2390619652","doi":"","title":"Analysis on Coal Industry in 2015 and Study and Judge on Future Development","year":2015,"lang":"en","type":"article","venue":"Coal Economic Research","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; China; Government (linguistics); Sustainable development; Productivity; Natural resource economics; Quarter (Canadian coin); Business; Production (economics); Coal mining; Environmental economics; Economics; Industrial organization; Engineering; Economic growth; Waste management; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009326999,0.00009890636,0.000177232,0.0005071375,0.00003142867,0.00005700533,0.00007788837,0.0001451507,0.0000127742],"category_scores_gemma":[0.00001595694,0.0001001062,0.00001056385,0.0001305188,0.00001156024,0.00004298638,0.00007995153,0.0006719626,0.00003243253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002194892,"about_ca_system_score_gemma":0.00005009181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004261286,"about_ca_topic_score_gemma":0.0002512396,"domain_scores_codex":[0.9992531,0.00002579374,0.0001447558,0.0002113355,0.000114902,0.0002501222],"domain_scores_gemma":[0.9996152,0.00004989705,0.000007847908,0.0001549723,0.00001431307,0.0001577913],"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":[0.0001624537,0.0002904824,0.1682529,0.0001011154,0.0009110898,0.0001629824,0.009714035,0.7763135,0.00009590179,0.001079321,0.01157087,0.03134537],"study_design_scores_gemma":[0.004780345,0.001276469,0.4272856,0.00009148226,0.00005490033,0.00001152766,0.01587265,0.5084129,0.0009292531,0.0002579166,0.03996427,0.001062663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982916,0.0001331774,0.00001893301,0.00007518457,0.0001364436,0.0001484617,0.000002996385,0.00002659954,0.001166679],"genre_scores_gemma":[0.9996524,0.00002405523,0.00003921917,0.000006673564,0.00007250873,0.00002778723,0.000003827047,0.00001585227,0.0001576843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2679006,"threshold_uncertainty_score":0.4082212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08227725849916362,"score_gpt":0.3362466607784935,"score_spread":0.2539694022793298,"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."}}