{"id":"W2020957543","doi":"10.1109/robot.2010.5509860","title":"Optimal coverage of a known arbitrary environment","year":2010,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Microsoft Research","keywords":"Computer science","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":[0.0001691852,0.0003362002,0.0004152205,0.0003496219,0.0002538406,0.0004269877,0.0004685462,0.0004090304,0.0009261637],"category_scores_gemma":[0.0008505495,0.0002081914,0.0002451901,0.0003598332,0.0004763767,0.0006037163,0.0009067001,0.0002975066,0.0001866626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497011,"about_ca_system_score_gemma":0.0005096754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002950709,"about_ca_topic_score_gemma":0.002604318,"domain_scores_codex":[0.9998273,0.00003289097,0.000006399841,0.00004705517,0.00004854618,0.00003779342],"domain_scores_gemma":[0.9998173,0.00008552468,0.00002509227,0.0000352563,0.000022299,0.00001450012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002763167,0.00004696731,0.001233996,0.0001966453,0.00002747874,0.0003469448,0.0002483209,0.7225986,0.08274111,0.04164502,0.001581595,0.149057],"study_design_scores_gemma":[0.00002647671,0.00008201206,0.0007172059,0.00001577251,0.00001134,0.0001812889,0.00007854395,0.9544129,0.02092548,0.01950425,0.00403018,0.00001443553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1848799,0.0003234898,0.8080987,0.0001522347,0.00001304312,0.00002422796,0.0001099334,0.0005147854,0.005883521],"genre_scores_gemma":[0.7734898,0.0003619748,0.2229167,0.000046948,0.000008159373,0.00006106799,0.0002197893,0.00009342941,0.002802052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002950709,"threshold_uncertainty_score":0.005867064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008563783794535495,"score_gpt":0.2135255948387569,"score_spread":0.2049618110442215,"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."}}