{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004842483,0.00006522561,0.00006860735,0.00006246798,0.00002169118,0.00003335287,0.00002289135,0.00003916266,0.0008328735],"category_scores_gemma":[0.000007495702,0.00004974715,0.00001049682,0.0001722439,0.000009703052,0.0002159435,0.000004354954,0.00005930801,0.00006771877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004201257,"about_ca_system_score_gemma":0.000005441071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001137123,"about_ca_topic_score_gemma":0.0003960535,"domain_scores_codex":[0.9995918,0.00001131401,0.0001147555,0.00008398675,0.00007764014,0.0001205218],"domain_scores_gemma":[0.9998565,0.00002302305,0.000007284376,0.00005825943,0.00002743246,0.0000274658],"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":[0.00000987006,0.00003164884,0.005543129,0.00001626199,0.00001077178,0.000003600355,0.0001249218,0.9768029,0.01226704,0.003119294,0.0007263023,0.001344293],"study_design_scores_gemma":[0.0003719122,0.00005149261,0.02239578,0.00003370049,0.000003639755,0.000004893367,0.0002224377,0.9562868,0.01820198,0.001320666,0.0008698272,0.0002368243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4429146,0.00002585266,0.5352561,0.0002239712,0.0001169725,0.0001648037,2.336708e-7,0.0001916531,0.02110587],"genre_scores_gemma":[0.9896524,0.00001138085,0.009280661,0.00005636644,0.00003279838,0.00003560943,0.000008203486,0.00001054341,0.0009120314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5467378,"threshold_uncertainty_score":0.9119381,"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."}}