{"id":"W2093641157","doi":"10.1109/aero.2011.5747270","title":"Path planning on a network of paths","year":2011,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Terrain; Motion planning; Computer science; Mobile robot; Path (computing); Global Positioning System; Mobile robot navigation; Robot; Real-time computing; Artificial intelligence; Work (physics); Computer vision; Human–computer interaction; Engineering; Computer network; Robot control; Telecommunications; Geography","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":[0.0006759334,0.0007512717,0.0005040089,0.001230184,0.0007594223,0.001023232,0.001027645,0.000580522,0.004597109],"category_scores_gemma":[0.002558453,0.0004493812,0.0005893689,0.001264575,0.0008174286,0.002619325,0.001799743,0.0009103795,0.0006781091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007059776,"about_ca_system_score_gemma":0.0006490648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002762569,"about_ca_topic_score_gemma":0.004135735,"domain_scores_codex":[0.99938,0.0001660123,0.00003834039,0.0002191929,0.0001439259,0.0000524686],"domain_scores_gemma":[0.999023,0.0005566353,0.00009422113,0.000139012,0.0001305743,0.00005669863],"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":[0.0001818304,0.00005448739,0.001089656,0.0002223089,0.00005721732,0.0002349463,0.0002746339,0.7627257,0.006818577,0.0720578,0.002027988,0.1542549],"study_design_scores_gemma":[0.0000199632,0.00009660845,0.000332744,0.00003863249,0.0000255278,0.0001199272,0.000115653,0.9127674,0.002992211,0.07170018,0.01177121,0.00001998017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02314687,0.0002003126,0.9723742,0.0001347466,0.00002479191,0.000079786,0.0001998709,0.0003621303,0.003477342],"genre_scores_gemma":[0.2316006,0.0006796421,0.759974,0.00004720873,0.00002716596,0.0002635368,0.0007495371,0.0001494843,0.006508868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004597109,"threshold_uncertainty_score":0.01537883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05973637401649006,"score_gpt":0.251306565003944,"score_spread":0.191570190987454,"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."}}