{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000151856,0.00007932259,0.0001064032,0.00004320916,0.0000279359,0.00002435006,0.0005521721,0.00004726816,0.0001159726],"category_scores_gemma":[0.00001271633,0.00006786511,0.00003860615,0.00007014007,0.00004343817,0.0001774342,0.0001849043,0.0001636284,0.0001400533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006387719,"about_ca_system_score_gemma":0.00003286347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001261081,"about_ca_topic_score_gemma":1.766352e-7,"domain_scores_codex":[0.9992612,0.00001499105,0.0001476359,0.0002117756,0.0002021351,0.0001622419],"domain_scores_gemma":[0.9993129,0.00005646531,0.00005050097,0.0004998085,0.000008591385,0.00007175727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003004782,0.001819914,0.01527074,0.0000878655,0.0001934499,0.0005681421,0.004553392,0.08852092,0.2160667,0.348721,0.009955917,0.3142119],"study_design_scores_gemma":[0.0007111897,0.0002697531,0.03021178,0.00001561253,0.000008459644,0.0001226214,0.00001314979,0.9131636,0.041463,0.002209051,0.01137499,0.0004368118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06687652,0.00001542868,0.9122874,0.0002191143,0.0003134034,0.00006586387,0.000001548648,0.00007949097,0.02014128],"genre_scores_gemma":[0.2169499,0.000003638363,0.7822071,0.0001026612,0.00003463531,0.000003259777,9.02995e-7,0.000003958173,0.0006938665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8246427,"threshold_uncertainty_score":0.2767459,"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."}}