{"id":"W4386948151","doi":"10.1016/j.aap.2023.107225","title":"Driving safety zone model oriented motion planning framework for autonomous truck platooning","year":2023,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Platoon; Collision; Collision avoidance; Simulation; Engineering; Truck; Stability (learning theory); Controller (irrigation); Control theory (sociology); String (physics); Computer science; Control engineering; Automotive engineering; Control (management); Artificial intelligence; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006697428,0.0002463256,0.000433734,0.0008057174,0.00034317,0.00004593359,0.0002353594,0.0003564068,0.00006500975],"category_scores_gemma":[0.00009780667,0.0002867715,0.0003812837,0.001758104,0.0000242591,0.0003732393,0.00008247427,0.0003336231,0.00005169584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260109,"about_ca_system_score_gemma":0.00002042204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000616537,"about_ca_topic_score_gemma":0.0001352897,"domain_scores_codex":[0.9982567,0.00003753128,0.0006312004,0.0004067072,0.0001956592,0.0004722131],"domain_scores_gemma":[0.9991503,0.000150759,0.0001660886,0.0004073393,0.00005654854,0.00006898677],"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":[0.00001783329,0.00001855602,0.06532203,0.000007346458,0.0009595726,0.000003194025,0.0003620459,0.9096218,0.0004104091,0.005680185,0.0000788926,0.01751813],"study_design_scores_gemma":[0.000294218,0.00002449751,0.05726812,0.00006279864,0.0008425633,0.000001377464,0.0001659811,0.9273851,0.0008238097,0.01273325,0.0001266467,0.0002716714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3990098,0.00007690531,0.5991147,0.00004533006,0.0001207424,0.0002048329,0.000001034442,0.001334964,0.0000916937],"genre_scores_gemma":[0.9784034,0.00006123089,0.0203604,0.00001207808,0.00007450033,0.0001147337,0.0004160346,0.00005039786,0.0005071908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5793937,"threshold_uncertainty_score":0.9999585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564959708787618,"score_gpt":0.2782830739179422,"score_spread":0.262633476830066,"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."}}