{"id":"W4236332704","doi":"10.32920/ryerson.14664405.v1","title":"Implementation of a novel reactive navigation algorithm","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dijkstra's algorithm; Robot; Computer science; Traverse; Algorithm; Obstacle; Graph; Mobile robot; Hash function; Terrain; Holonomic; Process (computing); Artificial intelligence; Shortest path problem; Theoretical computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005985532,0.0001894527,0.000325592,0.0002384505,0.00004561135,0.0002761392,0.0008930346,0.0001529487,0.0002280595],"category_scores_gemma":[0.00006941074,0.0001941638,0.000116589,0.0005356268,0.00003997451,0.0003563184,0.001836748,0.0003750651,0.000006257804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267937,"about_ca_system_score_gemma":0.0008184148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009570356,"about_ca_topic_score_gemma":0.00001385072,"domain_scores_codex":[0.9975348,0.0001357557,0.0005596679,0.0006633142,0.0008868446,0.0002196874],"domain_scores_gemma":[0.9972667,0.0001213671,0.0004071942,0.0009208589,0.001190466,0.0000934261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003702339,0.0006013046,0.0001460617,0.0003456258,0.0003541308,0.00003360099,0.003795025,0.008153168,0.003222083,0.02019551,0.0005258246,0.962624],"study_design_scores_gemma":[0.0004853001,0.00003382661,0.0007349647,0.00006952883,0.00001491157,0.00001165673,0.0005480489,0.9702964,0.02695338,0.0005713491,0.00006524786,0.0002153928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00152399,0.00004908154,0.9959336,0.0003217961,0.0005010597,0.000492346,0.00004114087,0.00008561015,0.001051374],"genre_scores_gemma":[0.01551927,0.00003481697,0.9836923,0.00004167767,0.00005581989,0.0000741215,0.0003091598,0.00001427816,0.0002585718],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9624086,"threshold_uncertainty_score":0.7917771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04493479840962592,"score_gpt":0.3703739824579284,"score_spread":0.3254391840483025,"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."}}