{"id":"W2518785936","doi":"10.1016/j.cmet.2016.08.022","title":"Specialized Hub Beta Cells Trade Maximal Insulin Production for Perfect Timing","year":2016,"lang":"en","type":"letter","venue":"Cell Metabolism","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Production (economics); BETA (programming language); Insulin; Beta cell; Cell biology; Biology; Endocrinology; Computer science; Economics; Islet; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003995323,0.0005596885,0.00129503,0.0003506388,0.000143671,0.00004936722,0.0001749611,0.0008293728,0.001183267],"category_scores_gemma":[0.0002106568,0.0004174246,0.0005765584,0.0001763762,0.0001213439,0.0001052104,0.00003496859,0.0008686645,0.0004199133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009168013,"about_ca_system_score_gemma":0.0002057446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007464982,"about_ca_topic_score_gemma":2.019693e-7,"domain_scores_codex":[0.9972134,0.000137187,0.0005795971,0.0008737635,0.0004835362,0.0007124651],"domain_scores_gemma":[0.9984322,0.0002406112,0.0003283386,0.0007196529,0.0001192469,0.000159931],"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":[0.0001967489,0.00006048915,0.00001039777,0.00071586,0.0001376242,0.00002552235,0.0001097902,4.248216e-7,0.09869813,0.00001798052,0.8925126,0.007514442],"study_design_scores_gemma":[0.002868125,0.00007656484,0.0001464575,0.0001600732,0.001275608,0.00001502227,0.00001215844,0.00001174485,0.1927022,0.0001004234,0.8022575,0.0003741849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02544131,0.01369535,0.001004505,0.8805927,0.02777206,0.006146844,0.0004859035,0.0006380886,0.04422323],"genre_scores_gemma":[0.003497799,0.00199515,0.009480785,0.5487934,0.1969535,0.0008229672,0.001645748,0.0005873029,0.2362233],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3317992,"threshold_uncertainty_score":0.9998277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03011828590000504,"score_gpt":0.2523667513189206,"score_spread":0.2222484654189156,"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."}}