{"id":"W1527899403","doi":"10.1007/978-3-540-75404-6_50","title":"Design and Field Testing of an Autonomous Underground Tramming System","year":2008,"lang":"en","type":"book-chapter","venue":"Springer tracts in advanced robotics","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Field (mathematics); Computer science; Engineering; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002267647,0.0004703889,0.0007209525,0.0002552026,0.0000716088,0.00002705126,0.0001975564,0.0004081501,0.000002401428],"category_scores_gemma":[0.0000414227,0.0005414831,0.0000668311,0.00007237012,0.00005638693,0.0002232592,0.00003050757,0.0006859725,0.00000505813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002750628,"about_ca_system_score_gemma":0.00007260731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001715675,"about_ca_topic_score_gemma":0.0000245619,"domain_scores_codex":[0.9981844,0.00002419846,0.0007919991,0.0003806122,0.0002220494,0.0003967267],"domain_scores_gemma":[0.998612,0.000590911,0.000222091,0.0003814185,0.0000667464,0.0001268038],"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":[0.00002231092,0.0000160071,0.00002419406,0.001137792,0.00004654783,0.0001873308,0.0002262908,0.9491793,0.001038486,0.001852803,0.000003667653,0.04626527],"study_design_scores_gemma":[0.00283978,0.001110147,0.0005145405,0.0109913,0.0002595613,0.000665676,0.0003234541,0.9630433,0.01049748,0.001075292,0.005228808,0.003450688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01538898,0.01132032,0.7722001,0.00003957085,0.004834399,0.00321599,0.00002486846,0.002057235,0.1909185],"genre_scores_gemma":[0.7978249,0.0003904749,0.1968664,0.00001486311,0.0003274315,0.00001455636,0.0000113668,0.0003059204,0.004244118],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7824359,"threshold_uncertainty_score":0.9997036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521952815774115,"score_gpt":0.2209462991132388,"score_spread":0.1957267709554977,"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."}}