{"id":"W4293160600","doi":"10.1007/978-3-031-01495-6_2","title":"Terramechanics of Heavy-duty Construction Vehicle and Interactions Between Track and Blades with Soil","year":2018,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on advances in automotive technology","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Heavy duty; Track (disk drive); Traction (geology); Foundation (evidence); Engineering; Aerospace engineering; Marine engineering; Mechanical engineering; Automotive engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006149834,0.0003360861,0.0002595425,0.0002381034,0.0003775078,0.0008973209,0.0004425964,0.0005944099,0.008532466],"category_scores_gemma":[0.0001715161,0.0002039998,0.0002729938,0.0002441862,0.0006861839,0.0006345456,0.0006458511,0.0005571245,0.0008734022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003487247,"about_ca_system_score_gemma":0.0003658067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014269,"about_ca_topic_score_gemma":0.002931921,"domain_scores_codex":[0.9999518,0.000007554508,9.78368e-7,0.00001168818,0.00001709505,0.00001090549],"domain_scores_gemma":[0.999964,0.00001170883,0.000005025954,0.000003686716,0.000007994261,0.000007597213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009058632,0.00009734504,0.005908686,0.0003340224,0.00005499602,0.001342142,0.001373945,0.09032086,0.0387039,0.7212124,0.0242722,0.116289],"study_design_scores_gemma":[0.00002478053,0.0002157553,0.0432257,0.0001972233,0.00003978717,0.001791219,0.003432077,0.1238793,0.004258708,0.5223271,0.300514,0.00009422046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4043396,0.02521263,0.1030306,0.003797082,0.001873825,0.00006160206,0.0003670628,0.0002799773,0.4610377],"genre_scores_gemma":[0.8022265,0.007256032,0.006142448,0.0002050838,0.0002922971,0.00003353429,0.0001459315,0.0001105018,0.1835878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008532466,"threshold_uncertainty_score":0.02854395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006125353572423159,"score_gpt":0.2191249808623167,"score_spread":0.2129996272898936,"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."}}