{"id":"W4403029853","doi":"10.1016/j.cmet.2024.09.001","title":"HumanIslets.com: Improving accessibility, integration, and usability of human research islet data","year":2024,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Health Canada; McGill University Health Centre; Carleton University; Canada's Michael Smith Genome Sciences Centre; BC Children's Hospital; University of Alberta; University of British Columbia; McGill University","funders":"Breakthrough T1D Canada; National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; Genentech; National Institutes of Health; University of British Columbia; University of Pennsylvania; Canada Foundation for Innovation; University of Oxford; University of Alberta; Human Islet Research Network; Univerza v Mariboru; Diabetes Canada; McGill University; Institute of Nutrition, Metabolism and Diabetes; Juvenile Diabetes Research Foundation Canada; Juvenile Diabetes Research Foundation United States of America; Life Sciences Institute; Genome Canada; Wellcome Trust","keywords":"Usability; Islet; Computer science; Computational biology; Data science; Human–computer interaction; Biology; Diabetes mellitus; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006217729,0.000184535,0.0002671205,0.0001078774,0.000357135,0.0001518455,0.0008316144,0.0001018323,0.001810588],"category_scores_gemma":[0.0003745992,0.0001637338,0.00003838838,0.0004187807,0.0009728651,0.0009407759,0.00222672,0.0006290469,0.0001969659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424245,"about_ca_system_score_gemma":0.00004174037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879197,"about_ca_topic_score_gemma":0.0002080269,"domain_scores_codex":[0.9965176,0.0005899757,0.000498002,0.001272017,0.0006638272,0.0004585965],"domain_scores_gemma":[0.9979474,0.0003464638,0.00008229221,0.00143981,0.00002148532,0.0001625313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000009247326,0.0002583475,0.01688178,0.000402234,0.00001490201,0.00001175473,0.002863346,0.000004991845,0.8277617,0.001218916,0.001986698,0.1485861],"study_design_scores_gemma":[0.0009052053,0.0001872901,0.608309,0.0001821924,0.0001744472,0.000009423929,0.002195961,0.01197234,0.2784539,0.02977612,0.06690691,0.0009271804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840795,0.001249169,0.001233728,0.0003671775,0.0001783944,0.0005684232,0.00006490617,0.00005154833,0.01220717],"genre_scores_gemma":[0.9980183,0.0001383888,0.0008975945,0.00008739814,0.000109978,0.00002326781,0.00004452596,0.00002877395,0.0006517927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5914273,"threshold_uncertainty_score":0.9991019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088322965790725,"score_gpt":0.3940328477773712,"score_spread":0.2852005511982987,"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."}}