{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004702225,0.000290488,0.0002979104,0.001809394,0.00154778,0.00168832,0.0006877001,0.0008359621,0.00340771],"category_scores_gemma":[0.002199683,0.0005409899,0.0003574798,0.002200947,0.0005821973,0.001454001,0.002349607,0.001233993,0.0005239535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777315,"about_ca_system_score_gemma":0.002321642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09003972,"about_ca_topic_score_gemma":0.1623101,"domain_scores_codex":[0.999343,0.0001046835,0.0001034418,0.0001154777,0.0001209569,0.0002125165],"domain_scores_gemma":[0.9988397,0.0001879183,0.0004968023,0.00005019416,0.000289358,0.0001361691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001208873,0.0001989623,0.9404787,0.0007639189,0.00008829687,0.007016023,0.02663561,0.0001202564,0.001193122,0.0003250875,0.006926954,0.01613211],"study_design_scores_gemma":[0.000003147034,0.000081807,0.9663134,0.0003364847,0.00002469788,0.001533397,0.0256105,0.00009137098,0.0002275665,0.00007295603,0.005678243,0.00002646797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834678,0.001094263,0.0001481205,0.001395241,0.00008155052,0.0001669037,0.005582116,0.00001948394,0.008044581],"genre_scores_gemma":[0.9891639,0.002229643,0.0002190679,0.001119704,0.00006371421,0.0002657761,0.004065157,0.00001518469,0.002858019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09003972,"threshold_uncertainty_score":0.1790313,"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."}}