{"id":"W4407018784","doi":"10.52202/078352-0035","title":"Techniques to Assess the Quality of Armor Performance Measurement","year":2025,"lang":"en","type":"article","venue":"","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Armour; Quality (philosophy); Computer science; Reliability engineering; Materials science; Engineering; Composite material; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003997567,0.00004848439,0.0000979137,0.00004244869,0.00007034327,0.00004550633,0.0003787521,0.00001775151,0.0001188943],"category_scores_gemma":[0.0002203435,0.00002703607,0.00001808186,0.0002301456,0.00005311539,0.00005982774,0.0001173827,0.00003279571,0.00002362137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000471469,"about_ca_system_score_gemma":0.00007509073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002313864,"about_ca_topic_score_gemma":0.00001939721,"domain_scores_codex":[0.9990326,0.00006066366,0.0001712855,0.0001192319,0.0004427783,0.000173395],"domain_scores_gemma":[0.9995061,0.00004120198,0.00001912137,0.0002416412,0.0001585813,0.00003335176],"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":[0.000008310402,0.00001199117,0.0001479664,0.00005239733,0.000001040832,3.562873e-8,0.00002643975,0.00003487164,0.9918379,0.005031462,0.0004869114,0.00236065],"study_design_scores_gemma":[0.00002301799,0.00002730192,0.01024885,0.00003618751,9.90321e-7,1.082013e-7,0.00003636283,0.00003836105,0.9866751,0.00008401522,0.002792848,0.00003680965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599894,0.00001281059,0.01826267,0.0008054845,0.0002037963,0.0002173169,0.000001809115,0.00008755059,0.02041913],"genre_scores_gemma":[0.9958302,0.000007821238,0.003419378,0.0001034131,0.00001468329,0.00004198729,7.559459e-8,0.00000181076,0.0005806164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03584078,"threshold_uncertainty_score":0.1385485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1446535728128092,"score_gpt":0.4024106346143493,"score_spread":0.2577570618015401,"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."}}