{"id":"W3018868574","doi":"10.1101/2020.04.16.20062141","title":"Impact of non-pharmaceutical interventions on documented cases of COVID-19","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Psychological intervention; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Geography; Medicine; Environmental health; Disease; Infectious disease (medical specialty)","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001160682,0.0004147028,0.001508526,0.0001591111,0.00005869209,0.00001060368,0.0005806152,0.0002515895,0.000984622],"category_scores_gemma":[0.04778327,0.0002989239,0.001644947,0.0002337932,0.0003007892,0.00002176838,0.001540945,0.0007500096,0.00002502923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003658694,"about_ca_system_score_gemma":0.0002416744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005785557,"about_ca_topic_score_gemma":0.00004246142,"domain_scores_codex":[0.9969546,0.0004441711,0.001326725,0.0005850832,0.0003772643,0.0003122153],"domain_scores_gemma":[0.9887583,0.009202474,0.0008761247,0.0006796305,0.0001415566,0.000341937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001880615,0.005288241,0.8398306,0.04173116,0.007939118,0.0006085843,0.002550869,0.002721027,0.004371196,0.02072611,0.0709802,0.001372269],"study_design_scores_gemma":[0.004881818,0.005582233,0.4225632,0.006126486,0.003528685,0.00003944189,0.0003708367,0.005428762,0.005656772,0.5388907,0.004837636,0.00209347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740368,0.000403222,0.01831917,0.004663606,0.0002605625,0.001098761,0.0005409842,0.0001490362,0.0005278661],"genre_scores_gemma":[0.9972199,0.000227541,0.001846933,0.0004218523,0.00007884802,0.00009695886,0.00002663895,0.00003084784,0.00005046341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5181646,"threshold_uncertainty_score":0.9999463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5427339049518556,"score_gpt":0.5809104025410451,"score_spread":0.03817649758918951,"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."}}