{"id":"W7117251599","doi":"10.5267/j.ijiec.2025.12.006","title":"Bayesian evaluation of multi-grade damage efficiency of ammunition using multi-stage binomial distribution","year":2025,"lang":"","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinomial distribution; Identifiability; Markov chain Monte Carlo; Prior probability; Bayesian probability; Gibbs sampling; Fisher information; Ammunition; Uncertainty quantification","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002419959,0.0003844082,0.0008247869,0.001995916,0.00009362713,0.00007621125,0.0006808075,0.0003610791,0.00007152373],"category_scores_gemma":[0.001764589,0.0004530339,0.0005874655,0.001393892,0.0001044585,0.0004909129,0.0001081643,0.0007835765,0.00000135063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424351,"about_ca_system_score_gemma":0.0008576717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005472555,"about_ca_topic_score_gemma":0.00002894993,"domain_scores_codex":[0.9946399,0.0003756875,0.002989671,0.0002451779,0.001461967,0.0002875916],"domain_scores_gemma":[0.9940451,0.0004415815,0.00140294,0.0002966342,0.003688149,0.0001256312],"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":[0.0000576883,0.0004384383,0.0008110046,0.000121658,0.001684771,0.000009668602,0.000582248,0.9752167,0.01806952,0.0004364458,0.00003551661,0.002536272],"study_design_scores_gemma":[0.005458349,0.00008487101,0.002119579,0.001943491,0.001042713,0.00002291794,0.0005162163,0.9821259,0.006314991,0.00002133262,0.00008885274,0.0002607312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4448852,0.0005166259,0.5502697,0.00004719018,0.003532413,0.0002977965,0.0004183506,0.00001789569,0.00001478894],"genre_scores_gemma":[0.9899596,0.00004540963,0.009287518,0.00000267058,0.0004645373,0.000005053919,0.0001805474,0.00003640164,0.00001828146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5450743,"threshold_uncertainty_score":0.9997922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08501191574315461,"score_gpt":0.3374429335165788,"score_spread":0.2524310177734241,"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."}}