{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002192045,0.0004707717,0.0008747926,0.0001407245,0.0002239724,0.00002077248,0.0004367533,0.0005283515,0.0002580511],"category_scores_gemma":[0.0007683774,0.0003690152,0.0002046906,0.0002103161,0.000546593,0.0001264593,0.0001728369,0.0005506504,0.00002041462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062146,"about_ca_system_score_gemma":0.00004644052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000040532,"about_ca_topic_score_gemma":0.00001182951,"domain_scores_codex":[0.9964893,0.0008071032,0.00128611,0.0006539005,0.0001045182,0.0006590812],"domain_scores_gemma":[0.9969237,0.001516823,0.00030439,0.0008317291,0.0002201916,0.0002031711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001227676,0.0006938985,0.3261934,0.0001777946,0.0006107477,0.000006646401,0.0003896741,0.3829373,0.245636,0.02636088,0.003132793,0.01373807],"study_design_scores_gemma":[0.005439366,0.005714782,0.4601494,0.0003654136,0.0004446082,0.0005252363,0.003264309,0.2297452,0.1073744,0.02214462,0.159819,0.00501368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615567,0.003379673,0.02954222,0.0001475394,0.0005603518,0.0007618215,0.00007809904,0.0004497217,0.003523811],"genre_scores_gemma":[0.9886591,0.001888453,0.008624929,0.0002699895,0.00007866433,0.0001374718,0.0001542503,0.00003322021,0.0001539318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1566862,"threshold_uncertainty_score":0.9998762,"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."}}