{"id":"W4286656139","doi":"10.1109/tiv.2022.3188942","title":"Experimental Investigation of a Maneuver Selection Algorithm for Vehicles in Low Adhesion Conditions","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Algorithm; Notation; Mathematics; Inertial frame of reference; Estimator; Computer science; Statistics; Physics; Arithmetic","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001611759,0.0001650496,0.000175733,0.0003592084,0.0002030767,0.00001565227,0.0001215601,0.00007611739,0.0000975161],"category_scores_gemma":[0.000001377421,0.0002038797,0.0001221592,0.0003715092,0.00003331009,0.0001145663,0.000002276996,0.0002643672,0.000005831571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405771,"about_ca_system_score_gemma":0.00002977029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004973477,"about_ca_topic_score_gemma":0.00003007007,"domain_scores_codex":[0.9989216,0.00005158627,0.0003748117,0.0002151523,0.0002227644,0.0002140437],"domain_scores_gemma":[0.9996261,0.00009086575,0.00005316348,0.0001274347,0.00004386564,0.00005858394],"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":[0.0001130995,0.0005135314,0.0001153749,0.000105023,0.0000836708,0.000002809449,0.001342361,0.6642157,0.2465657,0.000378525,0.0001387038,0.08642541],"study_design_scores_gemma":[0.0002697958,0.0002168363,0.0001188058,0.00002599111,0.00001138841,0.00000460055,0.0005763489,0.5551109,0.4432671,0.0002444552,0.000035377,0.0001184344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7601281,0.00004758001,0.2385659,0.00001735622,0.000507918,0.0004022479,0.000192173,0.0001246303,0.00001406894],"genre_scores_gemma":[0.9980627,0.00003484676,0.001084421,0.00004031145,0.00002396089,0.0006271532,0.00003947913,0.00004725537,0.00003981649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2379346,"threshold_uncertainty_score":0.8313974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774096462555889,"score_gpt":0.2455964396093595,"score_spread":0.2278554749838006,"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."}}