{"id":"W1974524747","doi":"10.1007/s11242-012-0037-6","title":"Gas Leakage Prediction Model of Large-Scale Explosions in Hard Rock Based on Quantification Theory","year":2012,"lang":"en","type":"article","venue":"Transport in Porous Media","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Hydrogeology; Rock mass classification; Leakage (economics); Petroleum engineering; Uncertainty quantification; Environmental science; Permeability (electromagnetism); Mechanics; Geotechnical engineering; Geology; Mathematics; Statistics; Chemistry; Physics","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":[0.000357604,0.0007081011,0.0009184316,0.0005098432,0.000620558,0.0009279883,0.0009509782,0.0009526677,0.0006610013],"category_scores_gemma":[0.000778534,0.0003520833,0.0007524151,0.0004020293,0.0009330719,0.001294127,0.0008055899,0.0006715904,0.00005759247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008256626,"about_ca_system_score_gemma":0.001136858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063528,"about_ca_topic_score_gemma":0.006011528,"domain_scores_codex":[0.9998521,0.00003529517,0.000009315756,0.00003846818,0.00003475648,0.00003002541],"domain_scores_gemma":[0.9996401,0.0001951214,0.0000405379,0.00001204602,0.00008585812,0.00002637648],"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":[0.00001402242,0.00001131822,0.0002982941,0.00001663345,0.000007988393,0.00002727304,0.00001134086,0.9946198,0.000879638,0.003188117,0.00007344518,0.0008520826],"study_design_scores_gemma":[0.000001266244,0.000002116794,0.00004915702,5.380559e-7,0.000001832626,0.000001448291,0.000001398671,0.999597,0.0001007125,0.0002316288,0.00001129041,0.000001560624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3869122,0.0006656934,0.6016458,0.0005455329,0.0001021858,0.00005886812,0.0001897664,0.000414841,0.009465084],"genre_scores_gemma":[0.9950202,0.0001129184,0.003414207,0.0000228483,0.000009464889,0.00002205809,0.0000487488,0.00001695739,0.001332569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02063528,"threshold_uncertainty_score":0.04103035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546411876881179,"score_gpt":0.2335693789308865,"score_spread":0.2081052601620747,"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."}}