{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003688322,0.0002085239,0.0001082577,0.002569008,0.0004367437,0.0007440116,0.0002267377,0.0002523852,0.002421915],"category_scores_gemma":[0.0005966082,0.00007310104,0.0003040046,0.002921321,0.0001846502,0.0008900231,0.0004594229,0.000243927,0.0003181041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837852,"about_ca_system_score_gemma":0.002408811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03780502,"about_ca_topic_score_gemma":0.06761727,"domain_scores_codex":[0.9997454,0.00001896788,0.00002567406,0.00003137562,0.0001079341,0.00007058836],"domain_scores_gemma":[0.9996789,0.00002248633,0.00007318612,0.00001004366,0.0001616747,0.00005372452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001199282,0.00007625486,0.813378,0.0005619604,0.00006804444,0.0008094835,0.001555328,0.004855373,0.00256778,0.02465799,0.02404113,0.1273087],"study_design_scores_gemma":[0.000002569733,0.00005952004,0.9297598,0.000134445,0.00002559501,0.0002033002,0.00299311,0.004129578,0.001072449,0.001761762,0.05983963,0.00001825282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9203486,0.01068226,0.003049966,0.0054063,0.0003800638,0.00006784212,0.006877061,0.0001171048,0.05307076],"genre_scores_gemma":[0.9775608,0.006124189,0.0007897698,0.0003897255,0.00007768717,0.00001413412,0.003245461,0.000009108725,0.01178923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03780502,"threshold_uncertainty_score":0.07516992,"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."}}