{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001067149,0.00007497972,0.00008401586,0.00002928614,0.00004876328,0.00003257867,0.00004665241,0.00004248677,0.00007459876],"category_scores_gemma":[0.000005513508,0.0000558612,0.00001009391,0.00001316597,0.00001009671,0.00009052627,0.00001538233,0.0000143488,0.00001515169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007109659,"about_ca_system_score_gemma":0.00002209533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004756843,"about_ca_topic_score_gemma":0.00007612169,"domain_scores_codex":[0.9996252,0.00000290674,0.0001351225,0.0001005722,0.00001514781,0.0001210616],"domain_scores_gemma":[0.9998112,0.00004910083,0.000005939954,0.00008478958,0.00001051377,0.00003841286],"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":[0.00009892001,0.0001522507,0.001632785,0.0003668786,0.0004274932,0.000005340302,0.003356796,0.04185963,0.04229168,0.04310612,0.1220284,0.7446737],"study_design_scores_gemma":[0.00219652,0.0002558327,0.0009085582,0.0001013684,0.00002361265,0.00004088863,0.0001773365,0.4810457,0.1147964,0.003949919,0.3954742,0.001029686],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08166941,0.00004838433,0.9169013,0.0001733695,0.00004808938,0.000214305,0.000002576352,0.0002572837,0.0006852926],"genre_scores_gemma":[0.1707985,0.00005706593,0.8264433,0.00005526471,0.00002579326,0.0001354828,0.000002830288,0.00002126664,0.002460493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7436441,"threshold_uncertainty_score":0.2277954,"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."}}