{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001710211,0.0007746872,0.001039784,0.0003034998,0.002152037,0.002967316,0.0008574994,0.02821362,0.004426816],"category_scores_gemma":[0.01417928,0.0005072018,0.0008445357,0.0003082246,0.00255193,0.002436242,0.001607954,0.03953389,0.004610857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002404835,"about_ca_system_score_gemma":0.00133371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104847,"about_ca_topic_score_gemma":0.002034672,"domain_scores_codex":[0.9990865,0.0002540486,0.0001124549,0.000137246,0.0002528172,0.0001568764],"domain_scores_gemma":[0.9971011,0.001663156,0.0002531094,0.0001802784,0.0003431461,0.0004592253],"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":[0.0001929998,0.00004650398,0.0008395032,0.00009548315,0.00003269172,0.005632743,0.0001610204,0.0001710953,0.0008691253,0.01197924,0.9503602,0.02961936],"study_design_scores_gemma":[0.0004009755,0.0001586898,0.001142108,0.000287582,0.00006045352,0.008350989,0.0004043023,0.0008730249,0.001061494,0.06746733,0.9197217,0.00007126386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005750405,0.002076159,0.0002196482,0.9722992,0.02259224,0.000006329118,0.00002376279,0.00003183736,0.002175809],"genre_scores_gemma":[0.01489479,0.003367983,0.0005500726,0.8792678,0.09274025,0.00004258114,0.00003614066,0.00003178543,0.009068616],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02821362,"threshold_uncertainty_score":0.01744843,"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."}}