{"id":"W4415481917","doi":"10.1371/journal.pone.0332443","title":"Effect of COVID-19 restrictions and fuel prices on traffic volume and offenses in Iran: A spatiotemporal analysis","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Traffic Injury Research Foundation; Université du Québec à Chicoutimi","funders":"","keywords":"Traffic volume; Overtaking; Volume (thermodynamics); Poison control; Coronavirus disease 2019 (COVID-19); TRIPS architecture; Pandemic; Traffic analysis","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":[0.00135546,0.0003021507,0.000453927,0.0009349198,0.0003438739,0.0006346932,0.0006466487,0.0004429553,0.001360543],"category_scores_gemma":[0.004322145,0.0002013264,0.001812509,0.001789339,0.0004644747,0.0005434554,0.0006099574,0.0007125689,0.0001353444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034054,"about_ca_system_score_gemma":0.001533417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09845585,"about_ca_topic_score_gemma":0.07137219,"domain_scores_codex":[0.9986965,0.0004337647,0.0001338396,0.0002678084,0.000197531,0.0002705681],"domain_scores_gemma":[0.9978918,0.0006381252,0.0007333214,0.0002218853,0.0003444317,0.000170454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001972773,0.000109699,0.9921197,0.00003661587,0.0004300064,0.0001662635,0.0002648196,0.00182975,0.000181206,0.0001849019,0.0002944589,0.004185247],"study_design_scores_gemma":[0.000005905175,0.0001169548,0.9929025,0.00001328934,0.0001788516,0.00007167707,0.0008060088,0.005296256,0.0001132345,0.00008166394,0.0004032732,0.00001036574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982283,0.0002335616,0.0002975257,0.0001404392,0.00001153954,0.000013081,0.0007033912,0.00000787431,0.0003643215],"genre_scores_gemma":[0.998642,0.0001297491,0.0002520808,0.00002021571,0.0000113338,0.00001235492,0.0007708264,0.00000275014,0.0001586974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09845585,"threshold_uncertainty_score":0.1957656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2300166247473187,"score_gpt":0.3928602116648389,"score_spread":0.1628435869175203,"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."}}