{"id":"W6991975113","doi":"","title":"Intelligent Mobility Research at Defence R&D Canada for Autonomous UGV Mobility in Complex Terrain","year":2007,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Intelligent transportation system; Intelligent decision support system; Focus (optics); Robotics; Robot; Unmanned ground vehicle; Mobile robot","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":[0.001675273,0.0008900372,0.0005273394,0.001751918,0.003304035,0.00257584,0.001153447,0.001274928,0.02877702],"category_scores_gemma":[0.002226412,0.0002757412,0.000505235,0.001338867,0.001087167,0.001229846,0.001624223,0.001730989,0.006925518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01425706,"about_ca_system_score_gemma":0.03399807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5354909,"about_ca_topic_score_gemma":0.5514645,"domain_scores_codex":[0.9982308,0.000132734,0.00002269686,0.0002503752,0.001034309,0.0003291129],"domain_scores_gemma":[0.9965334,0.0002387064,0.0001016311,0.0001457557,0.002142798,0.0008375405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002541624,0.0002052084,0.005185362,0.0003399627,0.00003086972,0.0004531589,0.001173974,0.004407024,0.009040683,0.1090287,0.5046854,0.3651955],"study_design_scores_gemma":[0.00006496978,0.0001303754,0.002468183,0.0001271825,0.00001866184,0.0001847702,0.0003436179,0.009736196,0.003656593,0.004293237,0.9789352,0.00004110598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04121164,0.03354694,0.09326082,0.140435,0.009258649,0.001180363,0.004540976,0.004078842,0.6724868],"genre_scores_gemma":[0.185038,0.01611046,0.07818834,0.004294344,0.0006305635,0.0002909426,0.003616587,0.0004694914,0.7113612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5354909,"threshold_uncertainty_score":0.9344893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.055760561936711,"score_gpt":0.3119831762390138,"score_spread":0.2562226143023028,"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."}}