{"id":"W2067104968","doi":"10.1057/ori.2010.8","title":"Vehicle availability during a mounted combat engagement","year":2010,"lang":"en","type":"article","venue":"OR Insight","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Ammunition; Operations research; Investment (military); Computer science; Fidelity; Monte Carlo method; Computer security; Aeronautics; Transport engineering; Engineering; Telecommunications; Political science; Statistics; Law; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006577038,0.0002634452,0.0003678663,0.0006505697,0.0006923068,0.0007951209,0.0005920333,0.0005402695,0.0029444],"category_scores_gemma":[0.004926824,0.0001723264,0.0002934377,0.0005058229,0.000397615,0.0007048646,0.0009914279,0.000383877,0.0003248602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009749496,"about_ca_system_score_gemma":0.0007600808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093831,"about_ca_topic_score_gemma":0.02430513,"domain_scores_codex":[0.9988481,0.0002477709,0.00005093599,0.000183895,0.0003326608,0.0003365776],"domain_scores_gemma":[0.9973289,0.001463028,0.0004462536,0.0001770538,0.0003352385,0.0002495428],"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":[0.002017632,0.0003001933,0.2616568,0.0002091127,0.0001796126,0.003344221,0.001324052,0.6491114,0.03446411,0.003484251,0.0009239173,0.0429847],"study_design_scores_gemma":[0.00007375708,0.002804305,0.4140186,0.0000734369,0.0001542534,0.001961439,0.005577064,0.5438684,0.02364125,0.003503874,0.004177478,0.0001462277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948836,0.00005798987,0.00241108,0.00004132265,0.000005754724,0.00001336032,0.0001901335,0.00004090492,0.002355798],"genre_scores_gemma":[0.9992759,0.00001723695,0.0002865042,0.000003311357,0.000001161698,0.000004931453,0.00008435908,0.000002737776,0.0003239157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02093831,"threshold_uncertainty_score":0.04163289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02453833756489407,"score_gpt":0.265458193686536,"score_spread":0.2409198561216419,"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."}}