{"id":"W4385649977","doi":"10.7759/cureus.43168","title":"COVID-19 Excess Deaths in Peru’s 25 States in 2020: Nationwide Trends, Confounding Factors, and Correlations With the Extent of Ivermectin Treatment by State","year":2023,"lang":"en","type":"article","venue":"Cureus","topic":"Parasitic Diseases Research and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Johns Hopkins University","keywords":"Medicine; Confounding; Demography; Public health; Population; Pandemic; Coronavirus disease 2019 (COVID-19); Environmental health; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009171478,0.0002112753,0.0002277089,0.001316565,0.000276061,0.0006232163,0.0003124874,0.0002118522,0.001439142],"category_scores_gemma":[0.002004377,0.0001665446,0.0005199416,0.002275686,0.0003036524,0.0004147885,0.001016821,0.0003423654,0.0001823016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007003809,"about_ca_system_score_gemma":0.0004835733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05340993,"about_ca_topic_score_gemma":0.073308,"domain_scores_codex":[0.9995432,0.0001526314,0.00003614778,0.0001090329,0.00005528925,0.0001038036],"domain_scores_gemma":[0.9985489,0.0002646374,0.0007705535,0.00008546613,0.0002229939,0.0001075174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003764678,0.000009272296,0.997857,0.0000228238,0.00009216495,0.00002340819,0.000147889,0.00008567007,0.00004596679,0.00003794331,0.0002848445,0.001355326],"study_design_scores_gemma":[0.000001493551,0.00002753351,0.9988763,0.00001190662,0.00002836393,0.00002962736,0.0003694917,0.0002027565,0.000022144,0.00001547951,0.0004124409,0.000002368642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920059,0.0007280046,0.0002205841,0.0002005096,0.00000557344,0.00001714286,0.005639784,0.00002437882,0.001158208],"genre_scores_gemma":[0.9957476,0.0003018277,0.0001528391,0.00004680234,0.000009199744,0.00002726423,0.003481647,0.00000406906,0.0002286841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05340993,"threshold_uncertainty_score":0.1061981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03515626811518593,"score_gpt":0.3733719710595316,"score_spread":0.3382157029443457,"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."}}