{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001325987,0.0002667153,0.0006334398,0.0002663992,0.0001155589,0.0002171743,0.001314676,0.0001428525,0.0000463557],"category_scores_gemma":[0.00008668134,0.0002094455,0.0002936377,0.0002892517,0.00006438923,0.0004104345,0.0000371479,0.0003113422,0.0001591416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002223839,"about_ca_system_score_gemma":0.0002134157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003193844,"about_ca_topic_score_gemma":6.499758e-7,"domain_scores_codex":[0.9970731,0.0001706488,0.001231127,0.0003085098,0.0006971246,0.0005195379],"domain_scores_gemma":[0.9978933,0.0004661683,0.0005305277,0.0004741338,0.0003363433,0.0002995776],"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":[0.00004034718,0.0001242729,0.0001056271,0.00006817345,0.0001294389,0.0001607484,0.0007664202,0.939849,0.0000396203,0.000685524,0.007427084,0.05060374],"study_design_scores_gemma":[0.0005743783,0.0008403233,0.0002315381,0.0005720104,0.00005598314,0.002658825,0.0003034803,0.9776163,0.000300279,0.0001516152,0.01635104,0.0003442795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001126075,0.002266545,0.9906118,0.0002291392,0.004645968,0.0003228092,0.000002473344,0.0000622835,0.0007329177],"genre_scores_gemma":[0.5581677,0.0002127934,0.4304421,0.000476682,0.003303987,0.00004168181,0.000005589561,0.00009407086,0.007255391],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5601697,"threshold_uncertainty_score":0.8540941,"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."}}