{"id":"W3154361643","doi":"10.1016/j.jclinepi.2021.03.032","title":"COVID-19 and the research scholarship ecosystem: help!","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Data sharing; Coronavirus disease 2019 (COVID-19); Scholarship; Context (archaeology); Biomedicine; Public relations; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Best practice; Political science; MEDLINE; Business; Knowledge management; Medicine; Alternative medicine; Computer science; Geography","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","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.291929,0.001353087,0.002306533,0.008254354,0.03203018,0.06537651,0.009305101,0.02487394,0.05745993],"category_scores_gemma":[0.4257557,0.002118113,0.002541738,0.009375223,0.02759244,0.07270633,0.1003062,0.03642895,0.02305882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01548613,"about_ca_system_score_gemma":0.1568972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031665,"about_ca_topic_score_gemma":0.01349346,"domain_scores_codex":[0.7077743,0.1970754,0.01957571,0.01241623,0.04135817,0.02180018],"domain_scores_gemma":[0.3364481,0.2010727,0.03323615,0.09460606,0.08986569,0.2447713],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002392673,0.000445216,0.01411902,0.001194169,0.0001601863,0.000598679,0.01564831,0.0003497796,0.0004128801,0.1952716,0.6236053,0.1479556],"study_design_scores_gemma":[0.000108951,0.0001251377,0.002439924,0.002348954,0.00003583834,0.0003292247,0.01386691,0.0003864174,0.0002793123,0.1083259,0.871595,0.0001583995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001868837,0.003670627,0.005014495,0.9701054,0.004709209,0.000155186,0.0001780277,0.0006029483,0.01369532],"genre_scores_gemma":[0.1722367,0.01586336,0.1106446,0.619675,0.02061021,0.002508894,0.002189999,0.002075653,0.05419567],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9346235,"threshold_uncertainty_score":0.8731775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7883535317563503,"score_gpt":0.6525941602921894,"score_spread":0.1357593714641608,"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."}}