{"id":"W2253314556","doi":"","title":"A guidance-based motion-planning methodology for the docking of autonomous vehicles: Research Articles","year":2005,"lang":"en","type":"article","venue":"Journal of Robotic Systems","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Novelty; Computer science; Guidance system; Control engineering; Simulation; Engineering; Motion planning; Artificial intelligence; Robot; Aerospace engineering","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":[0.005097401,0.0001162728,0.0004156593,0.0002944589,0.0001567572,0.0000244446,0.0004049759,0.0001673913,0.000006366898],"category_scores_gemma":[0.000439062,0.00008357731,0.000138347,0.000269106,0.0001399002,0.0001080639,0.00002224092,0.0004474316,0.000004943504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779916,"about_ca_system_score_gemma":0.00009313466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001496303,"about_ca_topic_score_gemma":0.000004010482,"domain_scores_codex":[0.9981948,0.0002685989,0.000846021,0.0001001224,0.0002504622,0.0003399762],"domain_scores_gemma":[0.9965784,0.002494619,0.000286608,0.0002546067,0.0003334506,0.00005233998],"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":[0.00003583683,0.00002368171,0.002120143,0.0001223333,0.0001247839,0.000006080141,0.0005103562,0.977616,0.00513481,0.00137214,0.0004793356,0.01245448],"study_design_scores_gemma":[0.0007851677,0.0001986753,0.003070379,0.0003291902,0.00006778715,0.0001643723,0.001396567,0.9794388,0.01169541,0.0004506669,0.002287446,0.0001155075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1790985,0.009266031,0.8094171,0.0009863249,0.0007019922,0.0003243025,0.000001849296,0.00008340426,0.0001204769],"genre_scores_gemma":[0.9808859,0.00002397124,0.01864498,0.00001722122,0.0003504155,0.00001935297,2.679308e-7,0.00002469921,0.00003313531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8017874,"threshold_uncertainty_score":0.3408184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456785485247627,"score_gpt":0.3568812249252244,"score_spread":0.2112026764004617,"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."}}