{"id":"W3020513844","doi":"10.1016/j.jclinepi.2020.04.001","title":"Methodological challenges in studying the COVID-19 pandemic crisis","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; Bruyère; University of Ottawa","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Context (archaeology); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Knowledge base; Set (abstract data type); Public relations; 2019-20 coronavirus outbreak; Publishing; Process (computing); Political science; Health care; Data science; Engineering ethics; Computer science; Medicine; History; Disease; Law; Engineering; Infectious disease (medical specialty); World Wide Web","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4646775,0.001278438,0.003061208,0.005895835,0.003572389,0.008884434,0.007158212,0.003869602,0.007250679],"category_scores_gemma":[0.7754516,0.001552398,0.002037921,0.006832945,0.01179141,0.007835831,0.00912472,0.009135594,0.0008994344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004586728,"about_ca_system_score_gemma":0.01493871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227223,"about_ca_topic_score_gemma":0.01154686,"domain_scores_codex":[0.4827759,0.474847,0.01994015,0.007256297,0.01340068,0.001779871],"domain_scores_gemma":[0.1872791,0.7485207,0.02084119,0.02409626,0.01668732,0.002575453],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001075777,0.0006636616,0.04536216,0.005854886,0.004858081,0.0006788271,0.007082015,0.01094818,0.0004498624,0.7918875,0.02984215,0.1012969],"study_design_scores_gemma":[0.0005440676,0.0002806823,0.008381445,0.002489217,0.0005980938,0.0003905684,0.005273448,0.01237167,0.0003329852,0.9463528,0.02289176,0.00009332343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02924138,0.02282681,0.6373151,0.2832414,0.006053637,0.003507247,0.00271504,0.0002115395,0.01488801],"genre_scores_gemma":[0.504688,0.006580042,0.4300733,0.02831874,0.007341383,0.0193008,0.001049678,0.0002487112,0.002399368],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5353224,"threshold_uncertainty_score":0.6601479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.976812486063741,"score_gpt":0.6981448662993325,"score_spread":0.2786676197644086,"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."}}