{"id":"W3092325731","doi":"10.12688/f1000research.26281.3","title":"Road traffic injuries in Nepal during COVID-19 lockdown","year":2021,"lang":"en","type":"preprint","venue":"F1000Research","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Quarter (Canadian coin); NS3; Geography; Medical emergency; Transport engineering; Engineering; Virology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001794261,0.000469698,0.001095809,0.001458202,0.0002655506,0.0002396369,0.0005454381,0.0008307298,0.001987532],"category_scores_gemma":[0.005607615,0.0004686282,0.0003031692,0.0009517772,0.0002949065,0.0001079212,0.001707204,0.00403143,0.0001342199],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002823057,"about_ca_system_score_gemma":0.01702941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117773,"about_ca_topic_score_gemma":0.006065047,"domain_scores_codex":[0.9942862,0.0005550858,0.0008248396,0.001194949,0.00171649,0.00142245],"domain_scores_gemma":[0.995712,0.0005018974,0.0001225153,0.001427558,0.0003897957,0.001846194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01213063,0.003673978,0.5966482,0.1081873,0.0009589777,0.03457391,0.05493172,0.01164199,0.008825516,0.000280505,0.03383759,0.1343098],"study_design_scores_gemma":[0.004725805,0.0004926476,0.9648442,0.00254102,0.00007233674,0.0001989671,0.00261483,0.001856716,0.001353245,0.0002470486,0.02022781,0.0008253804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511238,0.004108314,0.00002771306,0.04121715,0.0004066677,0.00189282,0.00007970742,0.0002584732,0.0008853204],"genre_scores_gemma":[0.9903852,0.001960632,0.0002268541,0.002632385,0.0008208359,0.0002498541,0.0003598893,0.0001081358,0.00325618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3681961,"threshold_uncertainty_score":0.9997765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1402268631197081,"score_gpt":0.4860711042077114,"score_spread":0.3458442410880033,"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."}}