{"id":"W1523827670","doi":"10.1109/cdc.2003.1271943","title":"Modifed newton's method applied to potential field navigation","year":2004,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Robot; Computer science; Task (project management); Field (mathematics); Newton's method; Stability (learning theory); Descent (aeronautics); Gradient descent; Collision avoidance; Software; Collision; Control engineering; Simulation; Artificial intelligence; Engineering; Mathematics; Aerospace engineering; Artificial neural network; Nonlinear system","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":[0.0002293617,0.0001095045,0.0001225069,0.00007641064,0.00008670804,0.0001185275,0.0005913483,0.0000673927,0.000009621112],"category_scores_gemma":[0.0000246997,0.0001011542,0.00003734192,0.0003300263,0.000005822241,0.0001739696,0.0001708158,0.0001083841,0.0002602402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004467151,"about_ca_system_score_gemma":0.00005578782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001493992,"about_ca_topic_score_gemma":7.015793e-7,"domain_scores_codex":[0.9989336,0.0000228882,0.0001585711,0.0003612134,0.0002733058,0.0002504491],"domain_scores_gemma":[0.9993123,0.00004992063,0.00003706538,0.0004243662,0.00003883574,0.0001374938],"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":[0.00001169603,0.00006750956,0.00001141064,0.000008050268,0.00001938592,0.00007271654,0.001175437,0.7027199,0.01840653,0.1788578,0.002491829,0.09615766],"study_design_scores_gemma":[0.002190407,0.0004442217,0.001520111,0.00006670468,0.00002067492,0.0001785017,0.0001457478,0.7251505,0.195082,0.07299721,0.001244293,0.0009596426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001751618,0.000003035894,0.9850456,0.005554351,0.0003971314,0.0001759508,3.855375e-7,0.0003222968,0.006749616],"genre_scores_gemma":[0.110405,1.621843e-7,0.8873549,0.001772235,0.00008632991,0.00001480498,0.000002580052,0.000005759713,0.0003582722],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1766755,"threshold_uncertainty_score":0.4124949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174540195498505,"score_gpt":0.280235588764473,"score_spread":0.2684901868094879,"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."}}