{"id":"W3045188868","doi":"10.1101/2020.07.22.20160168","title":"Decreased incidence, virus transmission capacity, and severity of COVID-19 at altitude on the American continent","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Altitude (triangle); Outbreak; Pandemic; Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); Effects of high altitude on humans; Geography; Incidence (geometry); Epidemiology; Demography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Veterinary medicine; Medicine; Virology; Disease; Meteorology; Infectious disease (medical specialty); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00190727,0.0004484601,0.001360533,0.00005976797,0.0002383243,0.00001911914,0.0006034006,0.0001702617,0.0001437165],"category_scores_gemma":[0.02110116,0.0002700224,0.0002866897,0.0001907732,0.0008877064,0.00001589679,0.001370444,0.000735005,0.00001018339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269213,"about_ca_system_score_gemma":0.0001420872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003161054,"about_ca_topic_score_gemma":0.0006710605,"domain_scores_codex":[0.9965843,0.001038039,0.0007521801,0.0007729211,0.000535829,0.0003167473],"domain_scores_gemma":[0.9880529,0.009895515,0.0008675812,0.0006870888,0.00008188451,0.000415043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002282778,0.001116001,0.89939,0.007845541,0.001046209,0.0001865453,0.008230681,0.0002642226,0.0195038,0.02456082,0.03195712,0.003616286],"study_design_scores_gemma":[0.001076278,0.0005542094,0.5461085,0.0007591264,0.0005348332,0.00001176098,0.0002176069,0.002675027,0.006971184,0.3871637,0.05276282,0.001164894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543653,0.0002513904,0.008890682,0.03505991,0.00006951821,0.0008964158,0.000120461,0.0001349492,0.0002114373],"genre_scores_gemma":[0.9869644,0.001301705,0.003562872,0.007913443,0.00006670874,0.0001226865,0.000007486034,0.00002859546,0.00003208846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3626029,"threshold_uncertainty_score":0.9999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.261514220546263,"score_gpt":0.4113475984119929,"score_spread":0.1498333778657299,"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."}}