{"id":"W3089967157","doi":"10.15252/emmm.202013278","title":"COVID‐19: a pandemic experience that illuminates potential reforms to health research","year":2020,"lang":"en","type":"article","venue":"EMBO Molecular Medicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; SickKids Foundation; Hospital for Sick Children; Heart and Stroke Foundation; Ontario Institute for Cancer Research","funders":"","keywords":"Library science; Coronavirus disease 2019 (COVID-19); Sick child; Medicine; Media studies; Sociology; Pediatrics; Computer science","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":[],"category_scores_codex":[0.03958371,0.000642113,0.0006996795,0.00122403,0.008762622,0.01291667,0.001617226,0.009740734,0.01213003],"category_scores_gemma":[0.03729549,0.0005093866,0.000938847,0.00177031,0.01435735,0.01224638,0.01242777,0.01983764,0.002012741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01211318,"about_ca_system_score_gemma":0.02541617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01122744,"about_ca_topic_score_gemma":0.01625218,"domain_scores_codex":[0.9845616,0.006784177,0.0007080997,0.001041622,0.003037733,0.003866722],"domain_scores_gemma":[0.9597595,0.01534624,0.001855645,0.002386853,0.004803648,0.01584811],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003369842,0.0001633595,0.0047074,0.0005764411,0.00005328723,0.001623846,0.01048543,0.0004114583,0.001942753,0.418287,0.5058045,0.05560746],"study_design_scores_gemma":[0.00005697923,0.0001612272,0.003301703,0.0004458694,0.00001196183,0.0006511659,0.01038663,0.0001701465,0.0004738783,0.04437403,0.9398788,0.00008762512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009574153,0.01206048,0.001706328,0.9344319,0.008271598,0.0000385538,0.0003278967,0.00008262177,0.0335064],"genre_scores_gemma":[0.2848338,0.03470065,0.01040887,0.6269118,0.01366373,0.0001836167,0.0008831943,0.0003280556,0.02808616],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9604163,"threshold_uncertainty_score":0.2093412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2997140232219255,"score_gpt":0.5089264735273782,"score_spread":0.2092124503054527,"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."}}