{"id":"W2369796141","doi":"10.1002/cav.1710","title":"ACCLMesh: curvature‐based navigation mesh generation","year":2016,"lang":"en","type":"article","venue":"Computer Animation and Virtual Worlds","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polygon mesh; Computer science; Curvature; Navigation system; Computer vision; Artificial intelligence; Computer graphics (images); Geometry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002953887,0.0001606191,0.000143914,0.0001402734,0.0001656932,0.000250043,0.0003099811,0.00007645109,0.00001333721],"category_scores_gemma":[0.00001983114,0.0001190859,0.00003906743,0.0002932327,0.00004020663,0.0008154956,0.0001121357,0.00008244707,0.00007773228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004585959,"about_ca_system_score_gemma":0.00004290399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001931485,"about_ca_topic_score_gemma":6.722555e-7,"domain_scores_codex":[0.9987563,0.0001065418,0.0002530879,0.0004059927,0.0002770917,0.0002010083],"domain_scores_gemma":[0.9992355,0.0001202908,0.0001114058,0.0003165456,0.0001082297,0.000108074],"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":[0.00001159,0.00009415849,0.00110611,0.00001924783,0.00003044376,0.00001671575,0.0007865066,0.001672845,0.01768173,0.1212591,0.01821055,0.839111],"study_design_scores_gemma":[0.0006344256,0.0001676742,0.008718297,0.00008283428,0.000005540015,0.00001543589,0.00000217317,0.9855606,0.002065049,0.0004120761,0.002113014,0.0002228698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01122303,0.00003915898,0.9853952,0.002023064,0.0007390853,0.0001305215,0.000003412009,0.0002733788,0.0001731542],"genre_scores_gemma":[0.715301,0.000005228731,0.2829148,0.0009489162,0.0004202469,0.00001235888,0.00002899791,0.000010698,0.0003576435],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9838878,"threshold_uncertainty_score":0.4856184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899268736868576,"score_gpt":0.2661105117011151,"score_spread":0.2371178243324293,"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."}}