{"id":"W1971007928","doi":"10.1109/crv.2013.44","title":"Enhancing Exploration in Topological Worlds with a Directional Immovable Marker","year":2013,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Closing (real estate); Computer science; Topology (electrical circuits); Loop (graph theory); Robot; Range (aeronautics); Artificial intelligence; Combinatorics; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006309893,0.0008008212,0.0006568199,0.0004265377,0.0004041373,0.0008302247,0.001486389,0.0008937322,0.001568231],"category_scores_gemma":[0.002413869,0.0003426279,0.0003130814,0.0005032854,0.00112469,0.002749256,0.00315694,0.0007190466,0.0004066642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491484,"about_ca_system_score_gemma":0.0003747075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006068919,"about_ca_topic_score_gemma":0.001087396,"domain_scores_codex":[0.999707,0.00007230152,0.00001218553,0.00005466262,0.0001066653,0.00004715409],"domain_scores_gemma":[0.9989569,0.000555653,0.0001028087,0.0002202089,0.00008946105,0.00007501359],"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":[0.0005975408,0.0002821896,0.00217688,0.0002799864,0.00004548038,0.0007498796,0.0008550471,0.5650207,0.09604476,0.05401261,0.001934148,0.2780007],"study_design_scores_gemma":[0.00003377392,0.0002025448,0.0003045081,0.00001155701,0.00001710497,0.0002577492,0.00009664885,0.9466488,0.03240802,0.01677616,0.003218369,0.00002476067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09026513,0.000117864,0.9060215,0.0001096085,0.00001654156,0.00002890884,0.00002276407,0.001268316,0.002149334],"genre_scores_gemma":[0.5581018,0.0001295419,0.4400558,0.00004041902,0.00001221645,0.00004649983,0.00006398326,0.0001191097,0.001430457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001568231,"threshold_uncertainty_score":0.005246222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008696902665936717,"score_gpt":0.1863691459021673,"score_spread":0.1776722432362306,"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."}}