{"id":"W3083279630","doi":"10.1101/2020.09.04.20188771","title":"COVID-19 Preprints and Their Publishing Rate: An Improved Method","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Preprint; Upload; Context (archaeology); Computer science; Coronavirus disease 2019 (COVID-19); Scientific publishing; World Wide Web; Server; Publishing; Data science; Infectious disease (medical specialty); Medicine; Geography; Disease; Literature; Art","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","open_science"],"category_scores_codex":[0.04484031,0.000611237,0.001164449,0.0005245461,0.0004261624,0.01797761,0.01042371,0.001141479,0.001092341],"category_scores_gemma":[0.1943244,0.0004243238,0.0002462876,0.001060939,0.0002273003,0.005854873,0.0108007,0.003924625,0.0001269511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702283,"about_ca_system_score_gemma":0.001785876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225502,"about_ca_topic_score_gemma":0.0001405856,"domain_scores_codex":[0.9890388,0.003790867,0.001570041,0.003496517,0.001460538,0.0006432924],"domain_scores_gemma":[0.9869311,0.005834857,0.001379779,0.002843327,0.0005790845,0.002431871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005818757,0.0002633511,0.2815703,0.0005244457,0.0004899157,0.0001536797,0.04603662,0.002330051,0.01060079,0.005658381,0.2564526,0.395338],"study_design_scores_gemma":[0.0009244143,0.00004713665,0.03513098,0.000070059,0.00005424132,0.00004554204,0.004316078,0.1011532,0.001980591,0.5694645,0.2855529,0.001260382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4774466,0.0007593937,0.3734894,0.1259953,0.004169023,0.001779828,0.0004779716,0.0008492435,0.01503334],"genre_scores_gemma":[0.9700796,0.00009232923,0.01094685,0.01587567,0.0009837457,0.000122976,0.0001005758,0.00007774773,0.001720504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5638061,"threshold_uncertainty_score":0.9998208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2152926009066877,"score_gpt":0.4552273630391432,"score_spread":0.2399347621324555,"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."}}