{"id":"W1988582973","doi":"10.14429/dsj.57.1809","title":"Normal Approximation to a Sum of Geometric Random Variableswith Application to Ammunition Stockpile Planning","year":2007,"lang":"en","type":"article","venue":"Defence Science Journal","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Stockpile; Ammunition; Mathematics; Engineering; Mathematical optimization; Computer science; Physics; Materials science; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005989186,0.001577807,0.001824662,0.00135486,0.0007039661,0.001734683,0.002724147,0.001473857,0.004264173],"category_scores_gemma":[0.01480374,0.0007881149,0.001605208,0.002425143,0.002197155,0.003091539,0.001470124,0.002969756,0.0008967987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078268,"about_ca_system_score_gemma":0.001330878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054117,"about_ca_topic_score_gemma":0.006549002,"domain_scores_codex":[0.9975901,0.001050026,0.00008693602,0.0003699872,0.0006516409,0.0002513256],"domain_scores_gemma":[0.9868534,0.01023771,0.0008595121,0.0006383837,0.001184734,0.0002262396],"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":[0.00003720305,0.00001444138,0.0005725774,0.00005739641,0.00002404432,0.0000793208,0.00004280698,0.8967002,0.0001915275,0.0895844,0.0007055692,0.01199055],"study_design_scores_gemma":[0.000004309167,0.00001679342,0.0001288405,0.00000878522,0.00000755596,0.00003655408,0.0000107028,0.9736319,0.0001609814,0.02518548,0.000797437,0.00001067173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005803012,0.0006674192,0.9910361,0.0001690421,0.0000592927,0.00003316004,0.00006470687,0.00009427418,0.002072961],"genre_scores_gemma":[0.5583518,0.005759329,0.4066776,0.0002801736,0.0004084799,0.0004053452,0.0007636976,0.0003424447,0.02701109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054117,"threshold_uncertainty_score":0.03167421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103986347342451,"score_gpt":0.304772981631192,"score_spread":0.2837331181577675,"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."}}