{"id":"W2794673203","doi":"10.1002/btpr.2632","title":"Insulin secretion kinetics from single islets reveals distinct subpopulations","year":2018,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Islet; Kinetics; Secretion; Insulin; Chemistry; Biology; Internal medicine; Endocrinology; Medicine; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003864382,0.0002469918,0.0004912209,0.0002945047,0.00008747888,0.0006216153,0.0001971311,0.0002395729,0.0005623005],"category_scores_gemma":[0.000338365,0.0001599224,0.0003307286,0.0002302809,0.0001206478,0.0003797984,0.0002591792,0.0004201507,0.0003211223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264003,"about_ca_system_score_gemma":0.0001118374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001464254,"about_ca_topic_score_gemma":0.0001080777,"domain_scores_codex":[0.9998145,0.00001392036,0.00001900355,0.00006643698,0.00006151271,0.00002481828],"domain_scores_gemma":[0.9997519,0.00006938973,0.00005645952,0.00004737839,0.00003564398,0.000039266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003593708,0.00003584745,0.008318361,0.00005329907,0.00001928911,0.00005858622,0.00008057166,0.0003827367,0.9831814,0.00006098828,0.00003234553,0.007417115],"study_design_scores_gemma":[0.00002812579,0.001406829,0.1467409,0.00002804271,0.0001398371,0.0009366236,0.0002255235,0.01776832,0.8298193,0.0005321004,0.002339361,0.00003501379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928406,0.0007388793,0.005592606,0.00002918648,0.000007299758,0.00001251113,0.0001971492,0.00005941154,0.0005223175],"genre_scores_gemma":[0.9933164,0.0008072828,0.004034055,0.00003744368,0.000009915344,0.00003574864,0.0005886049,0.00004644342,0.00112398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006216153,"threshold_uncertainty_score":0.002043664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561875368305255,"score_gpt":0.2768293171794231,"score_spread":0.2512105634963705,"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."}}