{"id":"W2472905713","doi":"10.18260/p.26337","title":"A Lab-Scale Autonomous Haul Truck for Underground Mine Operations: Design and Development","year":2016,"lang":"en","type":"article","venue":"","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Haulage; Truck; Automation; Engineering; Scale (ratio); Underground mining (soft rock); Transport engineering; Computer science; Simulation; Automotive engineering; Mechanical engineering","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":[0.0004985594,0.0003632324,0.0002642194,0.000381399,0.000459086,0.0005584664,0.001508633,0.000546984,0.003966744],"category_scores_gemma":[0.0003977753,0.0002549233,0.0002024008,0.0002458493,0.0002509249,0.0008010036,0.0005858383,0.0003157555,0.001846244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542707,"about_ca_system_score_gemma":0.001414548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007683914,"about_ca_topic_score_gemma":0.002059282,"domain_scores_codex":[0.9997227,0.00002486186,0.000008048381,0.00004637115,0.0001667715,0.00003127618],"domain_scores_gemma":[0.9995316,0.00004561444,0.00004013182,0.00006307971,0.0002255654,0.00009396519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007038112,0.001224497,0.01359472,0.0004703364,0.00006691305,0.0003397738,0.0002334903,0.02067273,0.7157041,0.002271142,0.008767725,0.2359508],"study_design_scores_gemma":[0.0003613524,0.008884856,0.02678102,0.000061473,0.0001814973,0.001637384,0.0005641777,0.3664536,0.4904666,0.001576863,0.1028508,0.0001804311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5193122,0.0005229994,0.456139,0.0007000852,0.0001591136,0.001345308,0.001043075,0.005122253,0.01565601],"genre_scores_gemma":[0.76705,0.0002393327,0.2166023,0.0001839271,0.00002696648,0.0007107647,0.0007853991,0.0002033629,0.01419804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003966744,"threshold_uncertainty_score":0.01327008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980382889042644,"score_gpt":0.2219449823116027,"score_spread":0.1921411534211762,"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."}}