{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006782284,0.0001424389,0.0002340071,0.001116193,0.0006296592,0.0003335831,0.0007417882,0.00005892619,0.00013729],"category_scores_gemma":[0.0004984517,0.0001220414,0.00004117311,0.00286958,0.0001716786,0.00111734,0.0001334699,0.0001509538,0.0001323801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250066,"about_ca_system_score_gemma":0.0002659539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001088842,"about_ca_topic_score_gemma":0.000009460517,"domain_scores_codex":[0.9974511,0.0000429615,0.0005709304,0.0002663095,0.001034378,0.0006343107],"domain_scores_gemma":[0.9983169,0.00007806408,0.000336583,0.0002716882,0.0005143049,0.0004823963],"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":[0.0002066246,0.00005350787,0.001342984,0.000009434492,8.988198e-7,0.000002741118,0.001563797,0.003034626,0.9910114,0.0002037929,0.00006752741,0.002502645],"study_design_scores_gemma":[0.0006827556,0.0003655106,0.04253855,0.00009449526,0.00001810675,0.0001445656,0.0008586951,0.0002603498,0.9543864,0.0001524193,0.0002600857,0.000238056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6379615,0.000004429839,0.3609847,0.00004780185,0.0003822487,0.0002900023,0.000008204134,0.0000255726,0.0002956141],"genre_scores_gemma":[0.9656464,0.000001368066,0.0340481,0.0001040613,0.0001447394,0.00001780611,0.000003045344,0.00000883034,0.00002562442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3276849,"threshold_uncertainty_score":0.4976704,"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."}}