{"id":"W2017902463","doi":"10.1139/t10-009","title":"Quantitative prop support estimation and remote monitor early warning for hard roof weighting at the Muchengjian Mine in China","year":2010,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tai'shan Scholar Engineering Construction Fund of Shandong Province of China","keywords":"Roof; Coal mining; Bedding; Geotechnical engineering; Excavation; Mining engineering; Weighting; Warning system; Span (engineering); Bed; Geology; Coal; Engineering; Environmental science; Civil engineering; Waste management","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":[0.0008523677,0.0003072318,0.0002794804,0.0007817575,0.0002914048,0.0002667845,0.0004773556,0.0003287309,0.0002548917],"category_scores_gemma":[0.001319828,0.0002115761,0.0001507013,0.0002936712,0.0002738814,0.0003713932,0.0003327714,0.0002106164,0.00006252318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136966,"about_ca_system_score_gemma":0.0003368049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085961,"about_ca_topic_score_gemma":0.02434955,"domain_scores_codex":[0.9997028,0.00006430996,0.00001670419,0.00005822772,0.0001162022,0.00004177686],"domain_scores_gemma":[0.9992506,0.0002437397,0.0001622921,0.00005696284,0.0002138078,0.00007266617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007728419,0.0003285657,0.7909504,0.0001162993,0.0000633889,0.0004522752,0.001230459,0.02556558,0.113198,0.0001207065,0.0002591359,0.06694253],"study_design_scores_gemma":[0.0000479785,0.0007023251,0.8729254,0.000007516375,0.00005055082,0.00006484036,0.0005932807,0.1008479,0.0243914,0.00009382436,0.0002399316,0.0000351261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993052,0.000006893376,0.0005614609,0.00000441301,6.972761e-7,0.000005413992,0.00001389107,0.000008302795,0.00009366086],"genre_scores_gemma":[0.9990705,0.000005647,0.0007927445,0.000001567344,6.684413e-7,0.000002662927,0.00003545153,0.000001086361,0.00008968231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01085961,"threshold_uncertainty_score":0.0215928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156442285141024,"score_gpt":0.2377206005775162,"score_spread":0.226156177726106,"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."}}