{"id":"W2000258203","doi":"10.1080/13647830701330922","title":"Predicting the ignition delay of turbulent methane jets using Conditional Source-term Estimation","year":2007,"lang":"en","type":"article","venue":"Combustion Theory and Modelling","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Autoignition temperature; Methane; Shock tube; Ignition system; Combustion; Mechanics; Jet (fluid); Laminar flow; Nuclear engineering; Chemistry; Thermodynamics; Physics; Shock wave; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003883511,0.000494773,0.0003057871,0.0003412365,0.0002592791,0.0003772594,0.0004832066,0.0004816428,0.0004505191],"category_scores_gemma":[0.001059063,0.0002792543,0.000367856,0.0002881907,0.0003470997,0.0004260785,0.0003432812,0.0005469507,0.00006379445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007678538,"about_ca_system_score_gemma":0.000936401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01576538,"about_ca_topic_score_gemma":0.007474536,"domain_scores_codex":[0.9999238,0.00001284598,0.000004571442,0.00001364523,0.000026824,0.00001835182],"domain_scores_gemma":[0.9994999,0.0003063411,0.00006174864,0.00003057458,0.0000692456,0.00003223028],"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":[0.00009251609,0.00002386315,0.002893042,0.00001524011,0.000007402786,0.00003556538,0.0000144884,0.9885079,0.00611613,0.0005377049,0.00003968131,0.00171638],"study_design_scores_gemma":[0.000002907876,0.000008337847,0.000387823,3.981882e-7,0.000001144827,0.000002023938,0.000001138666,0.9977924,0.00176058,0.00003330673,0.000008305206,0.000001726683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665968,0.00004440723,0.0321793,0.00004192788,0.00000777382,0.00001323108,0.0001318304,0.0002263127,0.0007584293],"genre_scores_gemma":[0.9976813,0.00001809996,0.002060722,0.000002549216,0.000001217246,0.000006867455,0.00008249946,0.00000965391,0.0001371465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01576538,"threshold_uncertainty_score":0.03134722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022719351434672,"score_gpt":0.2437435891177801,"score_spread":0.2235163956034334,"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."}}