{"id":"W4249700811","doi":"10.1504/ijvp.2018.088783","title":"Advanced control techniques for unmanned ground vehicle: literature survey","year":2017,"lang":"en","type":"article","venue":"International Journal of Vehicle Performance","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Motion planning; Unmanned ground vehicle; Robustness (evolution); Computer science; Reliability (semiconductor); Engineering; Control engineering; Simulation; Artificial intelligence; Robot","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297212,0.0001644179,0.0002626972,0.00018231,0.0002878188,0.0008016602,0.003216827,0.00008933811,0.000002298156],"category_scores_gemma":[0.0004943015,0.0001415014,0.000122691,0.0000795056,0.00007197793,0.002677173,0.0001600561,0.0003065549,0.000006925517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039405,"about_ca_system_score_gemma":0.0001151563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001163291,"about_ca_topic_score_gemma":0.000001995021,"domain_scores_codex":[0.9983582,0.0000586598,0.0004976959,0.0002207997,0.0006059441,0.0002587086],"domain_scores_gemma":[0.99658,0.0002389997,0.0009471709,0.0004629408,0.001667238,0.0001036584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00149232,0.0003926342,0.1506124,0.00007270386,0.000533084,0.0003306986,0.001058411,0.004370182,0.01188754,0.001852724,0.002627655,0.8247697],"study_design_scores_gemma":[0.003423064,0.0007629835,0.6246933,0.0006293546,0.00001343214,0.0003387223,0.000007398657,0.3551884,0.01043267,0.0007938336,0.003385985,0.0003308757],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5740367,0.0003845812,0.4177559,0.003561628,0.003596004,0.0002652617,0.00006035329,0.00007708804,0.0002625135],"genre_scores_gemma":[0.9236721,0.00010568,0.07519013,0.0003135231,0.0005278547,0.00001055276,0.00000557257,0.0000128919,0.0001617328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8244388,"threshold_uncertainty_score":0.7730429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033281834773891,"score_gpt":0.3092517567214546,"score_spread":0.2889189383737157,"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."}}