{"id":"W2051759511","doi":"10.1243/09544097jrrt366","title":"Implementation of Distributed Power and Friction Control to Minimize the Stress State and Maximize Velocity in Canadian Pacific's Heavy Haul/Heavy Grade Operations","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"L.B. Foster Rail Technologies (Canada); Canadian Pacific Railway (Canada)","funders":"","keywords":"Tonnage; Track (disk drive); Leverage (statistics); Engineering; Power (physics); State (computer science); Automotive engineering; Marine engineering; Mechanical engineering; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003630278,0.0003693388,0.0002642573,0.0003302148,0.001121488,0.0009423879,0.001147196,0.0002866684,0.001011111],"category_scores_gemma":[0.000905453,0.0002107373,0.0001577608,0.0003138312,0.0009195213,0.000649945,0.0006269433,0.0004200229,0.0001180745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003721286,"about_ca_system_score_gemma":0.003598392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2122859,"about_ca_topic_score_gemma":0.2827191,"domain_scores_codex":[0.9995521,0.00004479687,0.00001278931,0.00008325953,0.0002245119,0.00008259175],"domain_scores_gemma":[0.999693,0.00005727672,0.00003769052,0.00003632718,0.0001495274,0.00002614987],"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":[0.0006971018,0.0005940428,0.0157616,0.0002504841,0.00004641366,0.0005786808,0.001077779,0.4799449,0.1035158,0.02214138,0.001770327,0.3736216],"study_design_scores_gemma":[0.0002838798,0.0009397854,0.01830972,0.00003078013,0.00006538825,0.0002433772,0.0006808088,0.8930751,0.07161675,0.006389233,0.00830035,0.00006487587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6304027,0.0001744879,0.343634,0.0003503448,0.00002210959,0.0002287874,0.00006525261,0.001067908,0.02405436],"genre_scores_gemma":[0.9864557,0.00003289247,0.01180129,0.00001075576,0.000001461822,0.00001576518,0.00001258933,0.00001291777,0.001656622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7877141,"threshold_uncertainty_score":0.4221005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00498476422932646,"score_gpt":0.1981212209058801,"score_spread":0.1931364566765537,"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."}}