{"id":"W4400482648","doi":"10.55016/ojs/cpai.v3i2.71644","title":"COVID-19: A silver lining for academic integrity from a pandemic","year":2020,"lang":"en","type":"article","venue":"Canadian Perspectives on Academic Integrity","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Academic integrity; Medicine; Outbreak; Infectious disease (medical specialty); Computer science; Library science; Internal medicine","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.06088835,0.002015918,0.002861563,0.004866685,0.05646959,0.05300007,0.008942471,0.08481026,0.04199567],"category_scores_gemma":[0.10982,0.001614985,0.003914759,0.003867158,0.05441964,0.02437644,0.03542698,0.09525363,0.006862007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09583994,"about_ca_system_score_gemma":0.4659525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.834318,"about_ca_topic_score_gemma":0.8837979,"domain_scores_codex":[0.913578,0.01186441,0.0034531,0.003277104,0.03221682,0.03561044],"domain_scores_gemma":[0.7783955,0.02622016,0.00578595,0.006554027,0.05760346,0.1254409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000433975,0.00002960785,0.0004545242,0.0001073753,0.00003316858,0.0003161728,0.003034289,0.00009538727,0.000105862,0.17113,0.8169894,0.007660936],"study_design_scores_gemma":[0.00006249712,0.00003592415,0.001087875,0.0005490065,0.0000311367,0.0001373104,0.008127891,0.0001128053,0.0001275516,0.0360202,0.9535457,0.0001621242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006371229,0.002118085,0.0002929483,0.9683064,0.01121127,0.00001741249,0.0001024962,0.00006600202,0.01724819],"genre_scores_gemma":[0.04183837,0.004703965,0.001824914,0.8990437,0.008491728,0.00005639209,0.0002306108,0.0002958089,0.04351448],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9151897,"threshold_uncertainty_score":0.6953707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2919878732651822,"score_gpt":0.4711854677903328,"score_spread":0.1791975945251506,"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."}}