{"id":"W4205457687","doi":"10.31219/osf.io/9egh4","title":"Ivermectin for COVID-19 in Peru: 14-fold reduction in nationwide excess deaths, p<0.002 for effect by state, then 13-fold increase after ivermectin use restricted","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Parasitic Diseases Research and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre","funders":"","keywords":"Medicine; Ivermectin; Christian ministry; Population; Demography; Coronavirus disease 2019 (COVID-19); Confounding; Pediatrics; Internal medicine; Environmental health; Veterinary medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008782558,0.000704254,0.001126072,0.001064393,0.0001370573,0.0002477292,0.0002536209,0.000477814,0.0004019602],"category_scores_gemma":[0.007872697,0.0006292911,0.0004831508,0.000618491,0.000106734,0.0002986274,0.0002959877,0.0007034382,0.00001531275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002724658,"about_ca_system_score_gemma":0.002466264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210335,"about_ca_topic_score_gemma":0.00666738,"domain_scores_codex":[0.9950786,0.0007571981,0.0008621615,0.001533254,0.0007906038,0.0009781307],"domain_scores_gemma":[0.9950702,0.002284903,0.0002495742,0.0008906819,0.0005020244,0.001002579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1278,0.0170694,0.7108471,0.01477484,0.00553421,0.004896454,0.005717592,0.002878161,0.01068461,0.0001961233,0.07967444,0.0199271],"study_design_scores_gemma":[0.09767985,0.0051846,0.8344571,0.004371254,0.003502952,0.0003576246,0.00144911,0.005481916,0.01337339,0.003528806,0.02675398,0.003859394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819289,0.001499075,0.002768599,0.0008631687,0.0003119828,0.0100592,0.002012678,0.000164969,0.0003914621],"genre_scores_gemma":[0.9717985,0.0006174117,0.001773051,0.0003435314,0.0001594274,0.01007715,0.007147695,0.0001079718,0.007975215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.12361,"threshold_uncertainty_score":0.9996158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04189032380692354,"score_gpt":0.3767003142297819,"score_spread":0.3348099904228584,"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."}}