{"id":"W4311938469","doi":"10.1002/cjce.24805","title":"Machine learning modelling and evaluation of jet fires from natural gas processing, storage, and transport","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dimensionless quantity; Artificial neural network; Backpropagation; Jet (fluid); Mean squared error; Computer science; Algorithm; Machine learning; Artificial intelligence; Mathematics; Mechanics; Statistics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005616727,0.00008109133,0.0001412797,0.00009060645,0.00008146354,0.00001857181,0.0001155562,0.00002607294,0.00002303128],"category_scores_gemma":[0.00003273591,0.00006950098,0.00002989564,0.0001002745,0.00002952785,0.00006324036,0.0000109601,0.0006040183,3.467967e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001325776,"about_ca_system_score_gemma":0.0001177103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192558,"about_ca_topic_score_gemma":0.0002019228,"domain_scores_codex":[0.9992937,0.00001776723,0.0001892933,0.00005740474,0.0002914793,0.000150333],"domain_scores_gemma":[0.9996669,0.00004734073,0.00003683917,0.00004816643,0.00006768049,0.0001330865],"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":[0.000006740187,0.000001237511,0.0004127125,0.00003255308,0.00002792615,0.000006901391,0.0006796703,0.9881601,0.007266296,0.00001975513,0.000003423464,0.00338264],"study_design_scores_gemma":[0.0002226346,0.00001271333,0.0002982294,0.00003744351,0.00003234546,0.00004072491,0.00002832022,0.9981189,0.0008570685,0.0001222726,0.0001586475,0.00007068902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894726,0.009525506,0.0007365432,0.0001045977,0.00006511755,0.00004630947,0.00001608575,0.000007658244,0.0000255816],"genre_scores_gemma":[0.9996145,0.00003279173,0.0002769774,0.000003443957,0.00003907013,0.000002215722,0.000009005229,0.00001888442,0.000003094237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01014192,"threshold_uncertainty_score":0.2834168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120411568696526,"score_gpt":0.2077847816593838,"score_spread":0.1957436247897312,"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."}}