{"id":"W4385690593","doi":"10.1155/2023/9865769","title":"Retracted: Path Optimization Model for Urban Transportation Networks under the Perspective of Environmental Pollution Protection","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":true,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Path (computing); Environmental pollution; Environmental planning; Pollution; Environmental science; Transport engineering; Operations research; Computer science; Environmental protection; Engineering; Ecology; Biology; Artificial intelligence; Computer network","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001593164,0.001206502,0.001684838,0.0008397999,0.0009424026,0.002081212,0.002838493,0.003389015,0.0136789],"category_scores_gemma":[0.004251122,0.0008157693,0.001333256,0.001563436,0.001114301,0.002951782,0.001752292,0.002693776,0.0008791927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00291172,"about_ca_system_score_gemma":0.002937977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0493164,"about_ca_topic_score_gemma":0.02044712,"domain_scores_codex":[0.9994063,0.0002697059,0.00001628544,0.0001359737,0.0000577018,0.0001140367],"domain_scores_gemma":[0.9986192,0.000756184,0.0001134843,0.00006093849,0.0003021758,0.0001480428],"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":[0.00002961025,0.00001293723,0.0001682697,0.00003191184,0.00001327825,0.00004529541,0.000025174,0.9813058,0.00006214146,0.01449634,0.001611085,0.002198059],"study_design_scores_gemma":[0.000006383963,0.000008962731,0.00005083819,0.00000563285,0.00000513904,0.000004960591,0.00001361394,0.9940251,0.00001841962,0.005407972,0.0004488699,0.000004089322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08101419,0.001553358,0.8862384,0.004523157,0.0004353195,0.0002029571,0.001796117,0.0003962363,0.02384028],"genre_scores_gemma":[0.8833832,0.001345123,0.0592165,0.000441063,0.0001446766,0.0003758417,0.001493132,0.0002530484,0.0533474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.996611,"threshold_uncertainty_score":0.0980587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476808191818703,"score_gpt":0.2289032642152946,"score_spread":0.2141351822971076,"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."}}