{"id":"W4327597850","doi":"10.3311/pptr.20765","title":"Long Term, Pre, and Post Impacts of SARS-CoV-2 Pandemic on Road Traffic Crashes in the Case of Budapest, Hungary","year":2023,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"Hungarian Scientific Research Fund","keywords":"Pandemic; Road traffic; Coronavirus disease 2019 (COVID-19); Poison control; Transport engineering; Environmental health; Medicine; Engineering; Infectious disease (medical specialty)","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":[0.00027054,0.0002291538,0.0003316221,0.001081768,0.0003112867,0.0008399868,0.0003659467,0.0003786013,0.001574374],"category_scores_gemma":[0.0006452211,0.0001647879,0.0006187915,0.0008169046,0.0003187377,0.0003625899,0.0005914248,0.0004079008,0.0002518299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090405,"about_ca_system_score_gemma":0.0007299383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0371417,"about_ca_topic_score_gemma":0.03800639,"domain_scores_codex":[0.9996269,0.00004693331,0.00004439202,0.00007741493,0.00007554636,0.0001287363],"domain_scores_gemma":[0.999607,0.00005197458,0.0001235321,0.0000277675,0.0001152982,0.0000743779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002706454,0.00008816425,0.9806214,0.00008963227,0.0001887534,0.005775538,0.0007622541,0.001055593,0.0004987539,0.0001868156,0.00110334,0.009359161],"study_design_scores_gemma":[0.00000179236,0.00004507573,0.9973574,0.00001477826,0.00002542076,0.0005476404,0.001103569,0.0001908034,0.00007318202,0.0000274459,0.0006063012,0.000006641509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969398,0.0007555667,0.0001010031,0.0001107866,0.00002964927,0.00001213087,0.0007639297,0.000003621855,0.001283674],"genre_scores_gemma":[0.9982084,0.00051099,0.00004527228,0.0000295603,0.00002484353,0.000006029141,0.000784249,0.000002257498,0.0003884322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0371417,"threshold_uncertainty_score":0.07385099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217837717987956,"score_gpt":0.2442797635785515,"score_spread":0.2321013863986719,"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."}}