{"id":"W4400141077","doi":"10.1063/5.0219735","title":"A comprehensive study of path planning algorithms for autonomous robots","year":2024,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Rheumatology Association","funders":"","keywords":"Motion planning; Computer science; Robot; Path (computing); Mobile robot; Artificial intelligence; Algorithm; Computer network","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":[0.001179244,0.001105406,0.00115283,0.001676499,0.0009010714,0.001868311,0.001547098,0.001309689,0.002567508],"category_scores_gemma":[0.006537784,0.0009696655,0.001176411,0.004201438,0.001036314,0.00404184,0.0009927423,0.002791139,0.0007619631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033462,"about_ca_system_score_gemma":0.002066708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00406459,"about_ca_topic_score_gemma":0.003114509,"domain_scores_codex":[0.9987123,0.0002508017,0.00007086753,0.0002276311,0.0006760815,0.00006230702],"domain_scores_gemma":[0.9973979,0.001867334,0.0001036588,0.0001936093,0.0003867482,0.00005072132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003467726,0.00008892148,0.0006201371,0.0008863155,0.00009262293,0.0000660084,0.0001061578,0.530972,0.002061709,0.1448388,0.005884774,0.3143478],"study_design_scores_gemma":[0.00001089966,0.00009810826,0.0006502151,0.0001717979,0.0000382585,0.0001771855,0.00005440633,0.8275424,0.00152232,0.1459273,0.02378314,0.00002390866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009680577,0.01918956,0.9577108,0.0005258635,0.0001509051,0.00007603953,0.0001448017,0.0002372831,0.01228423],"genre_scores_gemma":[0.2093939,0.03138885,0.7470491,0.0003952194,0.0005890179,0.0002197431,0.0007557271,0.0005070818,0.0097014],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00406459,"threshold_uncertainty_score":0.008589149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07238661359973768,"score_gpt":0.3188400720410928,"score_spread":0.2464534584413551,"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."}}