{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00389206,0.0004560709,0.0003647665,0.001390186,0.02104316,0.01584677,0.00157496,0.004991931,0.2202389],"category_scores_gemma":[0.01693149,0.0004116242,0.0004710309,0.001465727,0.00577794,0.008046729,0.009204955,0.007664327,0.04839754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01349046,"about_ca_system_score_gemma":0.03898641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2713531,"about_ca_topic_score_gemma":0.4022388,"domain_scores_codex":[0.995048,0.0005735013,0.0001410617,0.0004287818,0.002659227,0.001149435],"domain_scores_gemma":[0.9847285,0.001248733,0.0004147631,0.001147844,0.005398545,0.007061504],"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":[0.00001086523,0.000008044439,0.0003377013,0.00002454207,0.000001745533,0.0001277504,0.0007930344,0.00001014208,0.00006781379,0.03550422,0.9484749,0.01463925],"study_design_scores_gemma":[0.000001646681,0.000002158844,0.0002166401,0.00004498759,6.506117e-7,0.00006310283,0.0009179311,0.00001264049,0.0000344286,0.001203818,0.9974979,0.000004089487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00243725,0.005250425,0.0009857886,0.3418404,0.01508436,0.0000641781,0.0006409449,0.0006121246,0.6330846],"genre_scores_gemma":[0.04670253,0.004304299,0.002150927,0.06543246,0.001940066,0.00004542715,0.000537289,0.0007850879,0.8781018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2713531,"threshold_uncertainty_score":0.7367724,"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."}}