{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567844,0.0000729335,0.0002039303,0.0001453209,0.00004721679,0.00007893689,0.0002443841,0.00007732934,8.521906e-8],"category_scores_gemma":[0.0002031438,0.0000638208,0.00003929362,0.0001482152,0.00001003378,0.000264598,0.00003555208,0.0001331855,2.453425e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000732578,"about_ca_system_score_gemma":0.00005250719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001315755,"about_ca_topic_score_gemma":0.00000721033,"domain_scores_codex":[0.9990995,0.00003649305,0.0004495777,0.00009494554,0.0001504732,0.0001689894],"domain_scores_gemma":[0.9984474,0.0009632302,0.0002810349,0.0001142776,0.0001308713,0.00006322087],"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":[0.0002700795,0.0005003479,0.1103581,0.009110689,0.000339145,0.003209106,0.00985855,0.6983992,0.004180394,0.08466326,0.002013689,0.07709741],"study_design_scores_gemma":[0.002684465,0.00121968,0.03653999,0.004738478,0.00007135537,0.003073517,0.001133824,0.9430115,0.003337575,0.003543669,0.0000903917,0.0005555884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01589432,0.0002878595,0.9821298,0.0006082665,0.0009057278,0.00009021383,1.942953e-7,0.00001373705,0.00006992244],"genre_scores_gemma":[0.5460898,0.000006301425,0.4536857,0.00006143456,0.0001194121,4.218091e-7,2.814029e-7,0.000004177225,0.00003238905],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5301955,"threshold_uncertainty_score":0.2602537,"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."}}