{"id":"W3042707010","doi":"10.20452/pamw.15514","title":"Evidence-based medicine and COVID-19: human important outcome measures. Making decisions under conditions of uncertainty","year":2020,"lang":"en","type":"article","venue":"Polskie Archiwum Medycyny Wewnętrznej","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University Medical Centre; Impact; McMaster University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Outcome (game theory); Actuarial science; Medicine; Business; Data science; Computer science; Economics; Virology; Infectious disease (medical specialty); Internal medicine; Disease","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":[0.003077033,0.0004289934,0.001368395,0.0004875029,0.0005173032,0.00002719695,0.0003136882,0.0002300152,0.0006898063],"category_scores_gemma":[0.01487677,0.0003300104,0.0002259552,0.0008181506,0.0007130678,0.000162012,0.0001204063,0.0007576774,0.00001567397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204674,"about_ca_system_score_gemma":0.003850977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005322519,"about_ca_topic_score_gemma":0.001127086,"domain_scores_codex":[0.9942521,0.0006405996,0.002171181,0.0007876378,0.001328838,0.0008196499],"domain_scores_gemma":[0.9924685,0.002556515,0.000644562,0.0007934371,0.0003796965,0.003157287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002800765,0.001040786,0.4385819,0.01345512,0.001066527,0.001153345,0.02712046,0.0008610765,0.02918336,0.38738,0.06484345,0.03251323],"study_design_scores_gemma":[0.02536416,0.009932564,0.4263516,0.01814705,0.00135962,0.001007034,0.01757661,0.01022267,0.0002908828,0.04333661,0.4437494,0.002661832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1243604,0.007721878,0.03877031,0.8173546,0.000528669,0.003630205,0.0004351898,0.0005109552,0.006687883],"genre_scores_gemma":[0.9384687,0.0003689062,0.001096548,0.05920451,0.0005514789,0.00007388028,0.0001116398,0.00006040306,0.00006393055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8141084,"threshold_uncertainty_score":0.9999152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5183829935823288,"score_gpt":0.5047342862061133,"score_spread":0.01364870737621549,"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."}}