{"id":"W3044547727","doi":"10.1038/s41591-020-1015-0","title":"Covidization of research: what are the risks?","year":2020,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Worry; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Public relations; Medicine; Virology; Psychiatry; Infectious disease (medical specialty); Pathology","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":[0.4776489,0.001698764,0.00553919,0.008050518,0.01031574,0.02867241,0.008874936,0.04083117,0.01455682],"category_scores_gemma":[0.7468844,0.001956679,0.003938092,0.00802555,0.04984372,0.05075549,0.0185051,0.03708713,0.005858608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01129468,"about_ca_system_score_gemma":0.04843101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008046441,"about_ca_topic_score_gemma":0.008779549,"domain_scores_codex":[0.4822322,0.3338884,0.02747133,0.01868577,0.1292274,0.008494969],"domain_scores_gemma":[0.1052851,0.6426025,0.05667705,0.06147133,0.1039917,0.02997238],"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":[0.001442515,0.000551264,0.02184059,0.003662104,0.002157892,0.0008302788,0.002969308,0.000921229,0.0003047814,0.43325,0.2710644,0.2610056],"study_design_scores_gemma":[0.0005907302,0.0005803642,0.008448277,0.01489734,0.0007808357,0.001507016,0.005286444,0.00275572,0.0005286521,0.6868732,0.2773045,0.0004468524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002614987,0.04199036,0.00910087,0.9221829,0.01175176,0.0001861108,0.0001607823,0.0001544465,0.01185781],"genre_scores_gemma":[0.1453978,0.04340568,0.02977687,0.7148377,0.05839116,0.001343057,0.0003132748,0.0005723384,0.005962158],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5223511,"threshold_uncertainty_score":0.6441519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6164967666173473,"score_gpt":0.5909378132508362,"score_spread":0.02555895336651115,"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."}}