{"id":"W4408326101","doi":"10.1109/globecom52923.2024.10901142","title":"A New Online Evolutive Optimization Method for Driving Agents","year":2024,"lang":"en","type":"article","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Computer science","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":[0.000522979,0.0009388309,0.0007091921,0.000514603,0.000581321,0.0007530471,0.001459258,0.0009128028,0.002233536],"category_scores_gemma":[0.0009063316,0.0003715416,0.0006186851,0.0003342974,0.0006203561,0.0008323534,0.001167147,0.0009160483,0.0005188279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020179,"about_ca_system_score_gemma":0.0007621392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003799455,"about_ca_topic_score_gemma":0.002802969,"domain_scores_codex":[0.9996891,0.00005980709,0.00001889953,0.0000932248,0.00009951971,0.00003941826],"domain_scores_gemma":[0.9997624,0.00006809221,0.00002858178,0.00002526888,0.0000879888,0.00002768355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001036495,0.00008650371,0.0009264686,0.000101318,0.00006875884,0.0001664595,0.0002029499,0.7518154,0.01080973,0.02393044,0.0024325,0.2093557],"study_design_scores_gemma":[0.000005472868,0.00002225225,0.00003617505,0.000002394122,0.000003758553,0.00001675827,0.000004463018,0.9971333,0.0004310319,0.001322553,0.001017311,0.000004566834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008081475,0.0001846485,0.988209,0.0001088679,0.00007319126,0.00003245393,0.00001418726,0.0003880257,0.002908187],"genre_scores_gemma":[0.6413699,0.0002973857,0.3463411,0.0002585032,0.000100846,0.0002953107,0.0001187134,0.0001890256,0.0110292],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003799455,"threshold_uncertainty_score":0.00755471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152251334847555,"score_gpt":0.3152159374037219,"score_spread":0.2936934240552464,"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."}}