{"id":"W2532645520","doi":"","title":"Path/action planning for a mobile robot","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Terrain; Motion planning; Fidelity; Mobile robot; Computer science; Robot; Path (computing); Engineering; Real-time computing; Artificial intelligence; Simulation; Operations research; Geography; Computer network; Telecommunications; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001879342,0.0002971035,0.0003215217,0.0001980021,0.0001687637,0.0002937182,0.000786868,0.0003245402,0.00002878003],"category_scores_gemma":[0.00005043318,0.0002763719,0.0001335255,0.0001936184,0.00000736565,0.0004597622,0.00003922561,0.000250379,0.0002036513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007157838,"about_ca_system_score_gemma":0.0001374836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007222299,"about_ca_topic_score_gemma":0.000002265224,"domain_scores_codex":[0.9983012,0.00002960288,0.0003377734,0.000630482,0.000309618,0.0003913407],"domain_scores_gemma":[0.9987222,0.0001702702,0.0002667175,0.0005388589,0.0001981827,0.000103786],"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":[0.00008942602,0.0004744816,0.0002335991,0.002279377,0.0004570275,0.0001005889,0.01933714,0.0798145,0.01046606,0.01395393,0.205598,0.6671959],"study_design_scores_gemma":[0.0005770915,0.0004363495,0.002066187,0.0004891354,0.00004648057,0.00002611907,0.001350408,0.9819784,0.004094074,0.00199681,0.00592064,0.001018268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002191656,0.0003336707,0.986105,0.00002513963,0.003812656,0.001028573,0.000004658027,0.0005527874,0.005945906],"genre_scores_gemma":[0.004987626,0.00001366057,0.9122315,0.0001339668,0.0004479155,0.00178545,0.0008659888,0.00006477386,0.07946909],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9021639,"threshold_uncertainty_score":0.9999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04181941651573025,"score_gpt":0.3314788115722225,"score_spread":0.2896593950564923,"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."}}