{"id":"W2150447641","doi":"10.1002/prep.200900015","title":"Mass Flow Discharge and Total Temperature Characterisation of a Pyrotechnic Gas Generator Formulation for Airbag Systems","year":2009,"lang":"en","type":"article","venue":"Propellants Explosives Pyrotechnics","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Airbag; Gas generator; Nozzle; Mass flow; Generator (circuit theory); Combustion; Flow (mathematics); Nuclear engineering; Mechanics; Automotive engineering; Pyrotechnics; Materials science; Environmental science; Mechanical engineering; Aerospace engineering; Computer science; Engineering; Chemistry; Thermodynamics; Physics; Explosive material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002330727,0.0002023375,0.0002744926,0.0003978463,0.0002096617,0.0003723077,0.0002455963,0.0002862083,0.001203908],"category_scores_gemma":[0.0003767765,0.00009592461,0.0001462164,0.000195832,0.0003552576,0.0002662496,0.0002051097,0.0002475683,0.0001334278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645133,"about_ca_system_score_gemma":0.0001742432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004866867,"about_ca_topic_score_gemma":0.0004772684,"domain_scores_codex":[0.999864,0.00002130441,0.000004050607,0.00002459228,0.00007007467,0.00001596968],"domain_scores_gemma":[0.9998827,0.00005006008,0.000018263,0.000009488113,0.00002866783,0.00001074148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002991271,0.00005499431,0.002250636,0.0001124535,0.00001007005,0.0001328307,0.00007333704,0.01505641,0.96984,0.0009980593,0.0000972128,0.01107491],"study_design_scores_gemma":[0.0000356524,0.001268691,0.008210065,0.00001555487,0.00001452666,0.0001752705,0.00007505952,0.1639487,0.8232757,0.0005455934,0.002416799,0.00001835981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694317,0.0003972338,0.02845,0.00004779303,0.00001994527,0.00005799664,0.00009881154,0.0001089851,0.001387525],"genre_scores_gemma":[0.9974315,0.00005931107,0.001878042,0.000004252041,0.000002874302,0.00001166463,0.00003912327,0.000009153995,0.00056407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001203908,"threshold_uncertainty_score":0.004027426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094679096516835,"score_gpt":0.2566183884674635,"score_spread":0.2356715975022951,"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."}}