{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01108128,0.001498036,0.0008718516,0.002388304,0.000621399,0.005188825,0.002142436,0.001376054,0.03976551],"category_scores_gemma":[0.03601151,0.0007568944,0.0009976033,0.001701865,0.0004917378,0.004435769,0.007272923,0.001437233,0.01907152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005657813,"about_ca_system_score_gemma":0.001575597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00272698,"about_ca_topic_score_gemma":0.00342557,"domain_scores_codex":[0.9952147,0.002107206,0.0004588702,0.0005784645,0.001428156,0.0002125048],"domain_scores_gemma":[0.9651558,0.02250767,0.0009644573,0.006549724,0.003008883,0.001813378],"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":[0.004412289,0.0007251074,0.01032291,0.002282896,0.0003675668,0.0007728577,0.003414997,0.001222889,0.013244,0.0037096,0.4958898,0.4636351],"study_design_scores_gemma":[0.001189433,0.001200091,0.01850737,0.001321134,0.0004867099,0.001293086,0.002274364,0.02346748,0.04567273,0.01897028,0.8852506,0.0003668386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.06930202,0.003061368,0.1827043,0.007221651,0.001349221,0.00194961,0.06788012,0.6193387,0.04719307],"genre_scores_gemma":[0.2656651,0.004199675,0.4696511,0.005060348,0.0009065336,0.002261,0.124685,0.07898229,0.04858891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9978576,"threshold_uncertainty_score":0.1330289,"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."}}