{"id":"W7005348341","doi":"","title":"Quantifying and Mitigating the Impact of Vehicular Routing on the Urban Environment","year":2024,"lang":"en","type":"article","venue":"Electronic Theses and Dissertations Repository (University of Pisa)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterintuitive; Popularity; Routing (electronic design automation); Global Positioning System; Traffic optimization; Urbanization; Traffic congestion; Metric (unit); Intelligent transportation system; Robustness (evolution)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001126934,0.0007900895,0.0003937559,0.0006391287,0.0005547997,0.001121172,0.000616212,0.0007646555,0.0004601708],"category_scores_gemma":[0.003527093,0.0003333919,0.000397755,0.0008879686,0.0008046114,0.001279941,0.001152678,0.0004691959,0.00006460687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199053,"about_ca_system_score_gemma":0.001385994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016741,"about_ca_topic_score_gemma":0.01430892,"domain_scores_codex":[0.9992189,0.0003925943,0.00001999333,0.00009053278,0.0001335595,0.0001444281],"domain_scores_gemma":[0.998187,0.001092045,0.0003069183,0.0001698567,0.0001751118,0.0000689872],"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":[0.00001403828,0.0000176674,0.004101051,0.0000169374,0.00002554307,0.00003375727,0.00002586298,0.9872583,0.001446282,0.002727146,0.0000717158,0.004261766],"study_design_scores_gemma":[0.000006806255,0.0001002081,0.003825364,0.00001044196,0.00003619468,0.00003980762,0.0001625264,0.9874042,0.002754017,0.004874674,0.0007684617,0.00001718242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908218,0.0003975816,0.1002683,0.000475625,0.00002516673,0.00005002984,0.00009816791,0.00009627946,0.007767114],"genre_scores_gemma":[0.9931104,0.0001367248,0.006475185,0.00002206035,0.000004452254,0.00001194955,0.00003404479,0.000009701959,0.0001954339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016741,"threshold_uncertainty_score":0.02021646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007324771847282789,"score_gpt":0.2386208760518735,"score_spread":0.2312961042045907,"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."}}