{"id":"W13676843","doi":"","title":"Intelligent Mobility: An Assessment of Past and Present UGV Concepts at DRDC Suffield","year":2003,"lang":"en","type":"article","venue":"Zhurnal mikrobiologii epidemiologii i immunobiologii","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unmanned ground vehicle; Exploit; Terrain; Survivability; Obstacle; Axle; Traverse; Computer science; Embedded system; Simulation; Engineering; Artificial intelligence; Computer security; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009705389,0.0001907391,0.000105632,0.001087433,0.001194938,0.0008084888,0.0005722209,0.0003191601,0.001016512],"category_scores_gemma":[0.001068012,0.00008283818,0.0001047036,0.0005365681,0.0006985551,0.001098351,0.0009121617,0.0002348558,0.0001591479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002788266,"about_ca_system_score_gemma":0.001261927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05419926,"about_ca_topic_score_gemma":0.1078866,"domain_scores_codex":[0.9995331,0.00006125541,0.00002848038,0.00006141627,0.0002192068,0.00009659915],"domain_scores_gemma":[0.9992549,0.00005880357,0.0001128636,0.00002895201,0.000323653,0.0002209324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001616104,0.0003994005,0.5781601,0.0005040905,0.00006766928,0.001729094,0.01375458,0.01619726,0.02420103,0.008891168,0.003516054,0.3509635],"study_design_scores_gemma":[0.0001300906,0.006093002,0.8180186,0.0004313297,0.0001177368,0.002665776,0.02402158,0.02422523,0.01350372,0.002229942,0.1083905,0.0001725578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830071,0.0008055453,0.002426062,0.0002617315,0.00001625217,0.00006163832,0.0001221045,0.00004605942,0.01325345],"genre_scores_gemma":[0.9966935,0.0002848273,0.001679561,0.00001746991,0.000004734044,0.00001092659,0.0001760669,0.000003759813,0.001129048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05419926,"threshold_uncertainty_score":0.1077675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05731201914034386,"score_gpt":0.3751309433341577,"score_spread":0.3178189241938139,"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."}}