{"id":"W2126534328","doi":"10.1109/iros.2006.282637","title":"Integrated Autonomous System for Exploration and Navigation in Underground Mines","year":2006,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Australian Centre for Field Robotics; Polytechnique Montréal","keywords":"Context (archaeology); Supervisor; Navigation system; Mode (computer interface); Planner; Computer science; Real-time computing; Robot; Mobile robot navigation; Human–computer interaction; Artificial intelligence; Mobile robot; Geography","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":[0.0001976405,0.00007444011,0.0001068159,0.00008388622,0.00004498535,0.0001384191,0.0001241272,0.00004189553,1.209537e-7],"category_scores_gemma":[0.00001698226,0.00006372378,0.00001181939,0.0002095338,0.00001172553,0.0005668026,0.00002227034,0.00002777058,0.000002636448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008620638,"about_ca_system_score_gemma":0.00002937732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003313395,"about_ca_topic_score_gemma":0.00005144796,"domain_scores_codex":[0.9993795,0.00003105296,0.0001926924,0.0002040864,0.00007437505,0.0001182492],"domain_scores_gemma":[0.9996444,0.00009546592,0.0000532807,0.000128389,0.00005993011,0.00001851427],"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":[0.00003060377,0.0002712971,0.004812967,0.003151807,0.00003380745,0.00009289681,0.00299172,0.08140963,0.007493838,0.8681838,0.002551951,0.02897571],"study_design_scores_gemma":[0.0002974303,0.00003782823,0.0007636341,0.000219446,0.000002589252,0.00001805494,0.0001921977,0.9929369,0.0009198211,0.004482235,0.00003507158,0.00009480519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01579307,0.00005230634,0.9827028,0.0003902512,0.0001947627,0.0002811462,9.358101e-7,0.0001906836,0.0003940535],"genre_scores_gemma":[0.6794556,5.49906e-7,0.3199919,0.00001831406,0.00003398597,0.0000651901,0.00002819276,0.000004830226,0.0004013551],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9115273,"threshold_uncertainty_score":0.259858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431171189247009,"score_gpt":0.244807591212966,"score_spread":0.2204958793204959,"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."}}