{"id":"W2032862034","doi":"10.1016/j.scitotenv.2014.02.058","title":"Prediction and innovative control strategies for oxygen and hazardous gases from diesel emission in underground mines","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Economic Development Board - Singapore","keywords":"Hazardous waste; Diesel fuel; Environmental science; Waste management; Ventilation (architecture); Environmental engineering; Engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002043407,0.00005130349,0.00006527321,0.00002747079,0.00008840111,0.00002921087,0.00007920558,0.00001297049,0.000004307032],"category_scores_gemma":[0.00006219111,0.00002943949,0.000007301479,0.00009105592,0.0002949303,0.0001437814,0.00003920691,0.00002679483,2.637524e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002372029,"about_ca_system_score_gemma":0.000009827428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000111482,"about_ca_topic_score_gemma":0.000002180808,"domain_scores_codex":[0.9996192,0.00001173703,0.000096961,0.00008330264,0.0001220374,0.0000666902],"domain_scores_gemma":[0.9997571,0.0001046193,0.00002998681,0.00008289159,0.00001016824,0.00001530785],"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":[0.00007492753,0.0000624269,0.0005007951,0.0003089551,0.0000309541,9.060737e-8,0.003085593,0.595789,0.3898332,0.005682537,0.0001786728,0.004452895],"study_design_scores_gemma":[0.001488835,0.0001248981,0.1514022,0.0002191705,0.00003682279,0.000004598796,0.003472707,0.7705325,0.03576937,0.03661945,0.0001353831,0.0001940887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939048,0.0002295171,0.005049685,0.0003685433,0.00006004107,0.0001800915,0.00001155216,0.00001117326,0.0001845958],"genre_scores_gemma":[0.9997525,0.00004505847,0.00009548767,0.00001137579,0.00001044185,0.00001499845,5.815378e-7,0.000002799558,0.0000667994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3540638,"threshold_uncertainty_score":0.1200507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009784724403693717,"score_gpt":0.1978134791170107,"score_spread":0.188028754713317,"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."}}