{"id":"W4405248716","doi":"10.1038/s41551-024-01273-9","title":"Heterogeneity-driven phenotypic plasticity and treatment response in branched-organoid models of pancreatic ductal adenocarcinoma","year":2024,"lang":"en","type":"article","venue":"Nature Biomedical Engineering","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"European Association for the Study of the Liver; Deutsche Krebshilfe; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Klaus Tschira Stiftung; Technische Universität München; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Deutschen Konsortium für Translationale Krebsforschung; Deutscher Akademischer Austauschdienst","keywords":"Organoid; Pancreatic ductal adenocarcinoma; Phenotype; Biology; Adenocarcinoma; Phenotypic plasticity; Pancreatic cancer; Cancer research; Cancer; Cell biology; Genetics; Gene","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":[0.0002657814,0.0001938567,0.0005678124,0.0004248374,0.00002005941,0.00001081434,0.00007119128,0.0004359164,0.00003824472],"category_scores_gemma":[0.0003891189,0.0001471709,0.00007261313,0.0004136699,0.0001522815,0.0000596533,0.00004904688,0.0005739646,0.000005301443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593506,"about_ca_system_score_gemma":0.0002793813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002738284,"about_ca_topic_score_gemma":0.000004905261,"domain_scores_codex":[0.9986479,0.00005445599,0.0003102857,0.0003239972,0.0003372475,0.0003260968],"domain_scores_gemma":[0.9989007,0.0006345274,0.00002012751,0.0001508872,0.00003108015,0.0002627264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01084447,0.00170908,0.2271036,0.005226644,0.002637352,0.007329206,0.005296978,0.001503441,0.7266433,0.004217017,0.0003010819,0.007187865],"study_design_scores_gemma":[0.00342146,0.002073055,0.470273,0.001099402,0.0003999867,0.0005879752,0.00006374617,0.5168192,0.004365361,0.0001076085,0.0005307916,0.0002584308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864591,0.009560866,0.002832585,0.0005500169,0.0001358835,0.0003125973,0.00002598252,0.00007445803,0.00004846105],"genre_scores_gemma":[0.9966393,0.0003157608,0.002720272,0.0000289644,0.0001574981,0.00003007578,0.00001637282,0.00002749403,0.0000642262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7222779,"threshold_uncertainty_score":0.6001456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641101239474014,"score_gpt":0.2946975141842508,"score_spread":0.2782865017895106,"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."}}