{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001669644,0.0003098253,0.000203168,0.0004147731,0.0002378556,0.0003096776,0.0002338768,0.0003216275,0.001528623],"category_scores_gemma":[0.0001640739,0.0002592769,0.0002550154,0.0001475585,0.000344398,0.0003210201,0.0004521495,0.0005044384,0.0005022975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005680437,"about_ca_system_score_gemma":0.0005708925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003191419,"about_ca_topic_score_gemma":0.0078524,"domain_scores_codex":[0.9999079,0.00000705697,0.000006791322,0.00002453896,0.00003605849,0.00001759681],"domain_scores_gemma":[0.9999262,0.00001164623,0.00002495818,0.000008448023,0.0000138947,0.00001486968],"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":[0.00002673461,0.000002357219,0.0001898855,0.0000252949,0.00000155483,0.00004329018,0.00002380189,0.0001670724,0.9973,0.0003347349,0.0000436601,0.001841583],"study_design_scores_gemma":[0.00001332432,0.0001457325,0.004497164,0.00002518852,0.00001812442,0.0001965524,0.00008179992,0.002298475,0.9849177,0.0003239491,0.007466924,0.00001508176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181331,0.00226243,0.06505042,0.000301975,0.00009061193,0.000154816,0.002333197,0.0008939466,0.01077943],"genre_scores_gemma":[0.9243379,0.003089693,0.05297938,0.0001796432,0.00001490457,0.0002037908,0.00141994,0.0003432385,0.0174314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003191419,"threshold_uncertainty_score":0.006345689,"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."}}