{"id":"W4414229798","doi":"10.1016/j.jlp.2025.105797","title":"Using dimensional analysis to assess dust explosion severity","year":2025,"lang":"en","type":"article","venue":"Journal of Loss Prevention in the Process Industries","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; WorkSafeBC","keywords":"Dimensionless quantity; Deflagration; Dust explosion; Work (physics); Thermal; Detonation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007719864,0.0001135722,0.0002330892,0.0007971039,0.00009984903,0.00009564072,0.0002742544,0.0000985395,0.00006074873],"category_scores_gemma":[0.000267463,0.00008787093,0.00009448134,0.002899492,0.00002957963,0.0004500004,0.00003028457,0.0003773273,0.000001623484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009942809,"about_ca_system_score_gemma":0.0001786894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000223472,"about_ca_topic_score_gemma":0.00001248462,"domain_scores_codex":[0.9987511,0.0000844813,0.0005517511,0.00009249948,0.0003933335,0.0001268447],"domain_scores_gemma":[0.9992579,0.0001179721,0.0001557689,0.0001105341,0.0003151297,0.00004270276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001291446,0.0003432422,0.04893538,0.0002275019,0.0006337434,0.00002467465,0.001600342,0.93333,0.0005307205,0.0008028465,0.002591482,0.01085091],"study_design_scores_gemma":[0.009091347,0.0006875694,0.3877821,0.006699203,0.00680605,0.0007064328,0.03529598,0.2405353,0.1617509,0.1224157,0.0252605,0.002968914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277185,0.0003025709,0.07032345,0.0007727077,0.0003041583,0.0001194448,0.000003193876,0.00002767526,0.0004282944],"genre_scores_gemma":[0.9991126,0.00002685206,0.0005061115,0.0001224307,0.00005090162,0.000008646336,0.000002535404,0.000006254479,0.0001636547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6927947,"threshold_uncertainty_score":0.3583272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06852067051734177,"score_gpt":0.3549532415776764,"score_spread":0.2864325710603346,"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."}}