{"id":"W4322734365","doi":"10.1080/17480930.2023.2184036","title":"Improving the top coal recovery ratio in longwall top coal caving mining using drawing balance analysis","year":2023,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Longwall mining; Hard coal; Coal; Mining engineering; Coal mining; Engineering; Petroleum engineering; Geology; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005072421,0.0003673192,0.0002991719,0.0008827813,0.0003520659,0.0006079116,0.0006056066,0.0004030264,0.00131569],"category_scores_gemma":[0.0008879323,0.0001982723,0.0003594171,0.0006527387,0.0003516234,0.0008325676,0.0004309767,0.0002717434,0.0001809739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004641059,"about_ca_system_score_gemma":0.0003657753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00281096,"about_ca_topic_score_gemma":0.003959527,"domain_scores_codex":[0.9996934,0.00002292032,0.00001507149,0.00006489253,0.0001661271,0.0000377198],"domain_scores_gemma":[0.9997583,0.00006963094,0.00005481462,0.00002773074,0.00007676772,0.00001278758],"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":[0.0004871555,0.0001584961,0.01906627,0.0004764684,0.00004909693,0.0004232882,0.0002895163,0.3921691,0.336955,0.003393607,0.001019667,0.2455121],"study_design_scores_gemma":[0.00003100818,0.0003135734,0.01022401,0.00002022032,0.00007699111,0.0001277362,0.0002193829,0.844148,0.1414928,0.001466529,0.001842625,0.00003721819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6893034,0.0005310194,0.3014946,0.0001338804,0.00004075858,0.00008683331,0.00008077014,0.0007194329,0.007609288],"genre_scores_gemma":[0.982669,0.0000802689,0.01646511,0.000006132608,0.000002731372,0.00001391333,0.000025943,0.00002115827,0.0007157087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00281096,"threshold_uncertainty_score":0.005589187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069116477238944,"score_gpt":0.2120273185079862,"score_spread":0.2013361537355968,"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."}}