{"id":"W4415880585","doi":"10.1038/s44321-025-00330-3","title":"Benchmarking porcine pancreatic ductal organoids for drug screening applications","year":2025,"lang":"en","type":"article","venue":"EMBO Molecular Medicine","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"Deutsche Forschungsgemeinschaft; Deutsches Zentrum für Diabetesforschung; Alexander von Humboldt-Stiftung","keywords":"Pancreas; Organoid; Proteomics; Endocrine system; Population; Pancreatitis; Phenotype; Drug development; Drug discovery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002405886,0.0002075288,0.0002638857,0.0001009261,0.0001555159,0.00001374335,0.0002285369,0.0001113016,0.00003103316],"category_scores_gemma":[0.0001077363,0.0001910612,0.000104861,0.0002443496,0.0001241581,0.000002966692,0.00005296616,0.0001050792,0.000001702239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001538073,"about_ca_system_score_gemma":0.00007466053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004625186,"about_ca_topic_score_gemma":0.0000161077,"domain_scores_codex":[0.9988052,0.00003664842,0.0003075069,0.0004321117,0.0001403687,0.0002781878],"domain_scores_gemma":[0.9992636,0.00003152636,0.0000704271,0.0004097085,0.0001351746,0.00008953567],"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":[0.00007256604,0.00005047526,0.002191862,0.00009630212,0.0001374042,0.000005366754,0.0000522286,0.00006582244,0.9869666,0.001401862,0.003370096,0.005589398],"study_design_scores_gemma":[0.005998414,0.0006911493,0.004008853,0.0004396196,0.0006794406,0.00004069332,0.0003755016,0.001689752,0.745318,0.001799465,0.2381993,0.0007598589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2393332,0.004159743,0.7500551,0.001929769,0.0002967237,0.0007309893,0.00001289944,0.00003685677,0.003444678],"genre_scores_gemma":[0.9841478,0.0001315958,0.01011682,0.00219767,0.000687246,0.0001948,0.0006580915,0.00003997766,0.001825998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7448146,"threshold_uncertainty_score":0.779125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007668431280548635,"score_gpt":0.2579112588411712,"score_spread":0.2502428275606226,"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."}}