{"id":"W4400482702","doi":"10.55016/ojs/cpai.v3i2.71653","title":"The COVID cloud’s Ag lining","year":2020,"lang":"en","type":"article","venue":"Canadian Perspectives on Academic Integrity","topic":"Dermatological and COVID-19 studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Cloud computing; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Computer science; Medicine; Operating system; Outbreak; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002433864,0.00019685,0.0003068885,0.00006019544,0.0005313487,0.00002610035,0.0002600502,0.0002791405,0.0001514845],"category_scores_gemma":[0.004122211,0.0001218259,0.0001382033,0.00026992,0.0004117103,0.00004114318,0.00004842087,0.003091375,0.0003406309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005899626,"about_ca_system_score_gemma":0.0007688531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006002502,"about_ca_topic_score_gemma":0.0042817,"domain_scores_codex":[0.9985438,0.00009059265,0.0002332109,0.0004177917,0.0002264678,0.0004881112],"domain_scores_gemma":[0.9982582,0.000349331,0.00005877712,0.0001892281,0.0001305146,0.001013992],"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":[0.0008153027,0.00006189712,0.04400684,0.00009207142,0.000410243,0.0006160435,0.04125438,0.000006253892,0.0002611792,0.2994516,0.6040428,0.008981399],"study_design_scores_gemma":[0.0006546096,0.0003133323,0.01360199,0.00005730527,0.00005463439,0.00008122133,0.04694135,0.0002218556,0.0001195879,0.002069981,0.935626,0.0002580977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1423703,0.005342787,0.00007834822,0.7625982,0.0004039315,0.0005180195,0.00006051065,0.0002081691,0.08841969],"genre_scores_gemma":[0.9109276,0.0008863194,0.00003228196,0.08666617,0.0007176603,0.0000231876,0.000003418147,0.00001380873,0.0007295526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7685573,"threshold_uncertainty_score":0.9992085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07755673084326689,"score_gpt":0.3317113193102683,"score_spread":0.2541545884670015,"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."}}