{"id":"W4391252347","doi":"10.1039/d3lc00696d","title":"Twenty years of islet-on-a-chip: microfluidic tools for dissecting islet metabolism and function","year":2024,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Islet; Microfluidic chip; Pancreatic islets; Function (biology); Metabolism; Internal medicine; Endocrinology; Biology; Diabetes mellitus; Microfluidics; Chemistry; Medicine; Cell biology; Materials science; Nanotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002551661,0.0001286571,0.000284467,0.0001412075,0.00004439666,0.00004695754,0.00003112004,0.00007594856,0.0001343293],"category_scores_gemma":[0.0006310189,0.0001070178,0.0001076154,0.0001732051,0.00003704995,0.00007276884,0.00001398277,0.0001474881,0.00004837868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002099555,"about_ca_system_score_gemma":0.00003553469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001289959,"about_ca_topic_score_gemma":3.731676e-7,"domain_scores_codex":[0.9991593,0.0000311019,0.0002047011,0.0002655069,0.0001602795,0.0001790711],"domain_scores_gemma":[0.9991348,0.0005115049,0.00004364551,0.000182916,0.00004526902,0.00008184614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001761753,0.0003219917,0.001837578,0.001234699,0.0005716949,0.00001785762,0.001121902,0.000002480444,0.7114862,0.02014234,0.05178633,0.2097152],"study_design_scores_gemma":[0.00564042,0.001991738,0.07391085,0.001437954,0.0009836864,0.00002681796,0.000690104,0.0005504761,0.3699048,0.002452933,0.5419694,0.0004408766],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898917,0.003752882,0.0002232083,0.0005022389,0.001097641,0.0003613436,0.00005039723,0.0001009777,0.004019594],"genre_scores_gemma":[0.9955707,0.0001644464,0.000168279,0.001342307,0.0005420442,0.00003848206,0.00005219899,0.00002977851,0.002091734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4901831,"threshold_uncertainty_score":0.436406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322875470151981,"score_gpt":0.2717968324413882,"score_spread":0.2485680777398684,"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."}}