{"id":"W4385971295","doi":"10.1126/sciadv.adf5142","title":"Decoding pancreatic endocrine cell differentiation and β cell regeneration in zebrafish","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; University of California, Irvine; Novo Nordisk Fonden; Vetenskapsrådet; Hospital for Sick Children; Science for Life Laboratory; Tongji University; Zentrum für Regenerative Therapien Dresden; China Scholarship Council; Knut och Alice Wallenbergs Stiftelse; Novo Nordisk; Karolinska Institutet; Oregon Health and Science University","keywords":"Zebrafish; Biology; Cell biology; Cellular differentiation; Regeneration (biology); Enteroendocrine cell; Transcriptome; Cell; Stem cell; Endocrine system; Genetics; Endocrinology; Gene; Gene expression; Hormone","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002371339,0.00007224931,0.0001310382,0.0002771018,0.0001191068,0.00003815634,0.0000465878,0.00001477014,0.00003519046],"category_scores_gemma":[0.0001984192,0.00005956297,0.00001437495,0.0008918868,0.0001164989,0.0004313774,0.00002609628,0.00005089757,0.00003307457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003870468,"about_ca_system_score_gemma":0.00005262144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001123007,"about_ca_topic_score_gemma":0.00001141708,"domain_scores_codex":[0.999138,0.00001470121,0.0001451173,0.0002456697,0.0002333378,0.0002231542],"domain_scores_gemma":[0.99964,0.00008041632,0.00004679454,0.0001117596,0.00004000364,0.00008098411],"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":[0.00001342455,0.00003141987,0.1310688,0.00008240618,8.387451e-7,0.000004983991,0.0002107987,0.00009456623,0.8623961,0.00008430825,0.000100377,0.005912049],"study_design_scores_gemma":[0.0009886191,0.0001117945,0.1817576,0.00006894267,0.00001693759,0.000003772342,0.0006305968,0.0098269,0.8053171,0.0006500396,0.000525468,0.0001022208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942787,0.0006111642,0.0001228799,0.0002902672,0.0001907676,0.0001435163,0.000001096254,0.00006530142,0.004296311],"genre_scores_gemma":[0.9969105,0.0003116654,0.00089608,0.0001289061,0.00004628548,0.0000176661,0.00001113949,0.000004654436,0.001673127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05707898,"threshold_uncertainty_score":0.2428907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445193659708811,"score_gpt":0.2706000961820232,"score_spread":0.2561481595849351,"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."}}