{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002361387,0.0004531083,0.0008519102,0.0004454439,0.0003574496,0.0000284006,0.0006072988,0.001830026,0.001421753],"category_scores_gemma":[0.3430211,0.0003922636,0.0002986547,0.0006318938,0.0005156905,0.000194608,0.00006773073,0.01909642,0.0002621888],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006910809,"about_ca_system_score_gemma":0.06201371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0888688,"about_ca_topic_score_gemma":0.0105013,"domain_scores_codex":[0.9948199,0.000295441,0.0007003546,0.001170656,0.0008501671,0.002163416],"domain_scores_gemma":[0.951022,0.002483984,0.0001763738,0.0004187483,0.0004144882,0.04548436],"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":[0.006354243,0.0001586364,0.05760476,0.0009160012,0.0004322602,0.000563803,0.07493997,0.000006756003,0.004925453,0.02219997,0.8012771,0.03062106],"study_design_scores_gemma":[0.008388354,0.00245752,0.009352,0.0009988269,0.0002082105,0.0001148406,0.04978529,0.005279653,0.0006101457,0.006447364,0.9153689,0.0009888776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3306172,0.003905489,0.003506045,0.6514041,0.000448236,0.003286782,0.001787417,0.0004278725,0.004616839],"genre_scores_gemma":[0.7437664,0.001529253,0.0005439176,0.2514652,0.002077748,0.0001324721,0.0001255585,0.00005671016,0.0003026437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4131492,"threshold_uncertainty_score":0.999853,"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."}}