{"id":"W3142061845","doi":"10.1109/wsc.2010.5679055","title":"A movement options analysis simulation tool for the Canadian Operational Support Command","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Defence Research and Development Canada","funders":"","keywords":"Computer science; Movement (music); Lift (data mining); Plan (archaeology); Asset (computer security); Operations research; Risk analysis (engineering); Simulation; Computer security; Engineering; Business; Data mining","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":[0.001296256,0.0010622,0.0005509356,0.001673787,0.001797927,0.001568611,0.002060982,0.0008534302,0.03925605],"category_scores_gemma":[0.004536093,0.0006754713,0.0009669772,0.001812624,0.0004911038,0.001151861,0.001319179,0.00139096,0.002985246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007556479,"about_ca_system_score_gemma":0.01869478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6798867,"about_ca_topic_score_gemma":0.7543964,"domain_scores_codex":[0.9994143,0.0001150866,0.00003028393,0.00003755689,0.0003147702,0.00008804965],"domain_scores_gemma":[0.9984996,0.000565229,0.00005812,0.00009390023,0.0006661632,0.0001169347],"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":[0.0001410393,0.0001092715,0.003182513,0.0002511602,0.00008452847,0.0002082479,0.000388976,0.7605704,0.001673333,0.06387151,0.09698599,0.07253303],"study_design_scores_gemma":[0.0001037859,0.00002351315,0.000962827,0.00009717557,0.00002558023,0.00004568008,0.0001169689,0.8533692,0.0006292231,0.007487957,0.1370656,0.00007245067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02571176,0.0005281405,0.7301388,0.001864683,0.0003864301,0.00125252,0.02990934,0.02003408,0.1901744],"genre_scores_gemma":[0.2228791,0.001401028,0.7003909,0.0003933058,0.00006800226,0.002538194,0.01987694,0.004210627,0.04824187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3201133,"threshold_uncertainty_score":0.643997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920310790610006,"score_gpt":0.2695366100407182,"score_spread":0.2303335021346181,"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."}}