{"id":"W1487526839","doi":"10.4271/2007-01-4212","title":"Performance Evaluation of Heavy-Duty Vehicles Equipped with Automatic Transmissions and Powertrain Adaptive Systems in Forestry Transportation","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Powertrain; Heavy duty; Automotive engineering; Computer science; Environmental science; Transport engineering; Engineering; Torque","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":[0.0005127931,0.0003815646,0.0002436161,0.0005059444,0.0003425905,0.0003903753,0.0005352479,0.0003240275,0.001513683],"category_scores_gemma":[0.0007567905,0.0001195682,0.0001854741,0.0003260464,0.0002518237,0.0004538231,0.0002616858,0.0001856094,0.0003861505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004831092,"about_ca_system_score_gemma":0.000307069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006583582,"about_ca_topic_score_gemma":0.005599356,"domain_scores_codex":[0.9996262,0.00007311467,0.0000251983,0.00006310072,0.0001548309,0.00005762875],"domain_scores_gemma":[0.9994335,0.0001561826,0.00004484626,0.00005580063,0.0002496827,0.00005996814],"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":[0.005221624,0.001929159,0.1746843,0.0004393893,0.0002295508,0.0006835697,0.001195199,0.1134308,0.4926814,0.0006306823,0.001204826,0.2076696],"study_design_scores_gemma":[0.0002654788,0.01771455,0.3497814,0.00006295084,0.0003374888,0.0005948658,0.002429159,0.2674117,0.356084,0.0003942725,0.00478711,0.0001369544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977059,0.00002344322,0.001609972,0.000006930973,0.000005834389,0.00001238173,0.00002331471,0.00005368009,0.0005584785],"genre_scores_gemma":[0.9989265,0.00001741259,0.0006054921,0.000003950396,0.000002112338,0.000006286726,0.00006420751,0.00000456774,0.0003694176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006583582,"threshold_uncertainty_score":0.01309049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486179304972953,"score_gpt":0.2413760424168981,"score_spread":0.2265142493671685,"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."}}