{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004965244,0.0008699322,0.0006112613,0.001085335,0.0005413306,0.0009689904,0.002119306,0.001066094,0.009601637],"category_scores_gemma":[0.002037028,0.0006515731,0.0007210706,0.0005657368,0.0004736883,0.0007061825,0.001708054,0.001187103,0.002694684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000577727,"about_ca_system_score_gemma":0.00103888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004973658,"about_ca_topic_score_gemma":0.007176562,"domain_scores_codex":[0.999485,0.0000618216,0.00002364668,0.0000840882,0.0003056793,0.00003973705],"domain_scores_gemma":[0.9993818,0.0001543583,0.00004295582,0.000168538,0.000207547,0.0000447085],"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":[0.0002526629,0.00009398651,0.001596374,0.0003036814,0.00007459284,0.0002399473,0.0002297494,0.3650252,0.04009222,0.02023914,0.02384241,0.54801],"study_design_scores_gemma":[0.00002048298,0.000022138,0.0001506075,0.00001625519,0.000005894446,0.00008156135,0.00001585926,0.9787328,0.008822474,0.00307281,0.009037689,0.00002146872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006082224,0.00009060231,0.9839594,0.00007507572,0.0001007804,0.0001139841,0.0001998124,0.006368587,0.003009604],"genre_scores_gemma":[0.1605119,0.00009425766,0.8316736,0.00009729443,0.00002850555,0.0001997224,0.0007495436,0.001897919,0.004747309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009601637,"threshold_uncertainty_score":0.03212065,"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."}}