{"id":"W1488505718","doi":"10.1023/a:1008108910932","title":"3D Local Trajectory Planner for UAV","year":2000,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"TRACE (psycholinguistics); Mode (computer interface); Trajectory; Planner; Novelty; Motion planning; Control theory (sociology); Motion (physics); Computer science; Engineering; Simulation; Control engineering; Artificial intelligence; Robot; Control (management); Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001453755,0.0005079057,0.000469633,0.0004336276,0.0004026146,0.0004545817,0.0006366831,0.000480926,0.002610748],"category_scores_gemma":[0.0003853236,0.000478823,0.0003926851,0.0004065398,0.0003350897,0.0005038622,0.001010521,0.000598804,0.0006007562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000624008,"about_ca_system_score_gemma":0.000772465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008911506,"about_ca_topic_score_gemma":0.01008297,"domain_scores_codex":[0.9998924,0.00001845125,0.000004967182,0.00002495317,0.00004523712,0.00001392588],"domain_scores_gemma":[0.9999017,0.00002540444,0.00001587354,0.00001761914,0.00002457445,0.00001494467],"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":[0.0001794343,0.00004489954,0.0005710449,0.00008574414,0.00002415261,0.0001667156,0.0001182431,0.8575201,0.01464391,0.008659665,0.004675227,0.1133109],"study_design_scores_gemma":[0.00001162978,0.00002100552,0.0001129893,0.000005629235,0.000003755132,0.00001729324,0.00001475516,0.9933663,0.001853898,0.003075442,0.001511283,0.000006125477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02048658,0.000174015,0.9732834,0.0001147211,0.00003609576,0.00006508573,0.0002641153,0.002324957,0.003251079],"genre_scores_gemma":[0.5668706,0.0002116255,0.4272614,0.000079969,0.00001257232,0.0002657099,0.0007134252,0.0002159095,0.00436874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008911506,"threshold_uncertainty_score":0.01771933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668250541762952,"score_gpt":0.2625313253770546,"score_spread":0.2358488199594251,"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."}}