{"id":"W4376639351","doi":"10.18280/isi.280229","title":"Data Export and Optimization Technique in Connected Vehicle","year":2023,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807576,0.0005696315,0.0005077692,0.0008538984,0.0004620338,0.0007969144,0.0006054995,0.0004626582,0.006136333],"category_scores_gemma":[0.0007192875,0.0002567057,0.0006119107,0.0009122069,0.0003310961,0.0007665032,0.0006552212,0.0004988287,0.00102941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004271713,"about_ca_system_score_gemma":0.000586179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004314405,"about_ca_topic_score_gemma":0.002338569,"domain_scores_codex":[0.9997932,0.00003230492,0.00001252123,0.00004151287,0.00009481625,0.00002552502],"domain_scores_gemma":[0.9998484,0.00004073063,0.00001681328,0.0000266915,0.00005895167,0.000008349197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002262488,0.0001470998,0.00224341,0.0002844209,0.00006846064,0.0003009035,0.0002123587,0.5851943,0.01801171,0.04561115,0.008595516,0.3391044],"study_design_scores_gemma":[0.00001318853,0.0000588558,0.0003981735,0.0000133094,0.00001293925,0.00007792324,0.00004788736,0.9826741,0.003663105,0.006427973,0.006602834,0.000009727562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02463236,0.0004599432,0.9600903,0.0002370465,0.00008834396,0.00006273092,0.0001318397,0.001254567,0.01304282],"genre_scores_gemma":[0.717741,0.0008101668,0.2592442,0.0001544566,0.0001013207,0.0001980339,0.0007074652,0.0004849586,0.02055839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006136333,"threshold_uncertainty_score":0.02052808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274406129660808,"score_gpt":0.2510381604726928,"score_spread":0.223597547506612,"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."}}