{"id":"W4210534322","doi":"10.1155/2022/5841373","title":"Evaluation of the Cost of Intelligent Upgrades of Transportation Infrastructure for Intelligent Connected Vehicles","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Intelligent transportation system; Upgrade; Transport engineering; Advanced Traffic Management System; Engineering; Software deployment; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007109611,0.0001223797,0.0002968883,0.0002194908,0.00005597367,0.000002475968,0.0001735166,0.000048209,0.00007650665],"category_scores_gemma":[0.00005024861,0.0001088609,0.0002271059,0.0005944886,0.00006298117,0.0001815568,7.792218e-7,0.0001927633,3.55013e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096989,"about_ca_system_score_gemma":0.0001705044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000579393,"about_ca_topic_score_gemma":0.0001723936,"domain_scores_codex":[0.99758,0.00005580073,0.001377561,0.000090717,0.0007962988,0.00009960894],"domain_scores_gemma":[0.9973583,0.0001043853,0.0008535532,0.0001387639,0.001514874,0.00003011158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001618612,0.00009579661,0.003231198,0.0002012276,0.0001373469,1.864187e-7,0.005574757,0.9026024,0.07106832,0.001751745,0.00003281199,0.0151424],"study_design_scores_gemma":[0.002128671,0.0003532491,0.662174,0.0001411274,0.0007660632,0.000002133916,0.007892117,0.004614098,0.3167681,0.003799984,0.001203995,0.0001564486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542362,0.0002854774,0.04345987,0.00006023373,0.0005397762,0.0007788754,0.0006170645,0.00001287371,0.000009626612],"genre_scores_gemma":[0.9971462,0.00008552082,0.002427304,0.00001037936,0.00001721183,0.00005720904,0.000234406,0.0000191422,0.000002581641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8979883,"threshold_uncertainty_score":0.4439217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237303553490091,"score_gpt":0.2792717149812841,"score_spread":0.2568986794463832,"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."}}