{"id":"W4200610173","doi":"10.1101/2021.12.24.474114","title":"Impacts of the COVID-19 Pandemic on a Human Research Islet Program","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Alberta Diabetes Foundation; Women and Children's Health Research Institute; Children's Health Research Institute","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Islet; Distribution (mathematics); Prioritization; Isolation (microbiology); Medicine; Biology; Business; Disease; Diabetes mellitus; Infectious disease (medical specialty); Internal medicine; Bioinformatics; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005211234,0.000260276,0.0001736953,0.0002801389,0.0009219829,0.001981299,0.0004619745,0.0002842083,0.006585959],"category_scores_gemma":[0.003091498,0.0000954423,0.0002327483,0.0003757506,0.0008907185,0.000406304,0.001806121,0.0009502047,0.00106842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002721054,"about_ca_system_score_gemma":0.004965927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02345538,"about_ca_topic_score_gemma":0.03354887,"domain_scores_codex":[0.998226,0.000457047,0.00004446568,0.0001098,0.0008078338,0.0003548423],"domain_scores_gemma":[0.9954595,0.0007108127,0.0005832097,0.0004354021,0.001244173,0.001566912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006090605,0.001455315,0.3765927,0.0006043441,0.0002204091,0.003106028,0.003092085,0.007101975,0.1251204,0.004135894,0.07758792,0.3948923],"study_design_scores_gemma":[0.0001950483,0.004029934,0.6875315,0.0004011672,0.0002050457,0.001735488,0.01015141,0.005198949,0.09249376,0.003211501,0.1947309,0.0001152523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537112,0.001433328,0.004177671,0.01397336,0.0005250351,0.0001426647,0.002094809,0.0005841598,0.02335785],"genre_scores_gemma":[0.9750575,0.001492731,0.006484962,0.004537072,0.0002113425,0.00008393424,0.002565233,0.0001702459,0.009396984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02345538,"threshold_uncertainty_score":0.04663771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071934705973899,"score_gpt":0.3695861812256833,"score_spread":0.2623927106282934,"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."}}