{"id":"W2046635640","doi":"10.1002/rob.20213","title":"Autonomous system for navigation and surveying in underground mines","year":2007,"lang":"en","type":"article","venue":"Journal of Field Robotics","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supervisor; Navigation system; Context (archaeology); Planner; Mode (computer interface); Robotics; Artificial intelligence; Engineering; Robot; Real-time computing; Computer science; Human–computer interaction; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002167378,0.0002966854,0.000413758,0.0002922422,0.0004558044,0.0003970655,0.0007140212,0.0004769374,0.002565598],"category_scores_gemma":[0.00038543,0.0001614248,0.00025578,0.0002164458,0.0002937317,0.0004396022,0.0008843582,0.0003201115,0.0007318339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196847,"about_ca_system_score_gemma":0.0007777979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133365,"about_ca_topic_score_gemma":0.001242523,"domain_scores_codex":[0.9998067,0.00003481136,0.00001006798,0.00005437927,0.00007119095,0.0000229435],"domain_scores_gemma":[0.9998152,0.00003297511,0.00002206612,0.00004202886,0.0000565076,0.00003136291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007808244,0.000451202,0.01313197,0.0005219842,0.0001305145,0.001805281,0.001409728,0.1393292,0.3076271,0.03433506,0.01511388,0.4853632],"study_design_scores_gemma":[0.0002614309,0.0006612781,0.005416797,0.00003984163,0.00009145751,0.000911627,0.0002267971,0.8763108,0.0486839,0.00957926,0.0577498,0.00006688527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1261887,0.0001548061,0.8574368,0.0001441494,0.00009683912,0.0002044247,0.0002012139,0.00923073,0.006342237],"genre_scores_gemma":[0.7325335,0.0001132994,0.2578937,0.0000859967,0.00003209205,0.0003484172,0.0003907129,0.0001093136,0.008492918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002565598,"threshold_uncertainty_score":0.008582771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514269861892292,"score_gpt":0.2857765880156399,"score_spread":0.2606338893967169,"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."}}