{"id":"W2232343343","doi":"10.4271/2005-01-0814","title":"Robust Design for Occupant Restraint System","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Illinois at Chicago; Ryerson University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006093601,0.001011186,0.001544951,0.0004681971,0.0006993691,0.0004130377,0.003054172,0.001110274,0.0004090192],"category_scores_gemma":[0.009669279,0.0007286454,0.0008503656,0.001370089,0.001117734,0.000674449,0.0004764522,0.001143936,0.0005677812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000742427,"about_ca_system_score_gemma":0.0003076118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001300154,"about_ca_topic_score_gemma":0.0056682,"domain_scores_codex":[0.9909519,0.0004195104,0.002468319,0.002203866,0.002426953,0.001529476],"domain_scores_gemma":[0.9903505,0.005199833,0.0004759892,0.002781695,0.0004446248,0.0007473381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009099371,0.0004689914,0.00002468835,0.00008638177,0.00006896926,0.00006984727,0.00005249408,0.02111762,0.7746412,0.1355331,0.05377354,0.01325318],"study_design_scores_gemma":[0.002240729,0.003384008,0.7008759,0.0006594361,0.0002317669,0.0004805634,0.0005247939,0.00006059495,0.0002614631,0.01515351,0.273926,0.002201245],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2192934,0.008975878,0.1151416,0.1087978,0.01192478,0.04985137,0.002611524,0.06790744,0.4154963],"genre_scores_gemma":[0.8742838,0.00005392699,0.1218113,0.0009488785,0.0004853474,0.0007348006,0.00001776523,0.0001334192,0.001530777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7743798,"threshold_uncertainty_score":0.9995165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09267062852720465,"score_gpt":0.3091357593842385,"score_spread":0.2164651308570339,"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."}}