{"id":"W4322721469","doi":"10.1016/j.jcmgh.2023.02.014","title":"Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model","year":2023,"lang":"en","type":"article","venue":"Cellular and Molecular Gastroenterology and Hepatology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; Childhood Cancer Canada; Magistrat der Stadt Wien; Bundesministerium für Bildung und Frauen; European Commission; German Network for Bioinformatics Infrastructure; Österreichische Forschungsförderungsgesellschaft; Österreichischen Akademie der Wissenschaften; Gesellschaft für Forschungsförderung Niederösterreich; Austrian Science Fund; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology","keywords":"Organoid; Colorectal cancer; Fibroblast; Cancer research; Tumor heterogeneity; Medicine; Cell; Tumor cells; Cancer; Oncology; Pathology; Biology; Internal medicine; Cell biology; Cell culture; Genetics","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":[0.000414769,0.0004308854,0.0003409624,0.0005038396,0.0002231062,0.0004266837,0.0003458648,0.0005310554,0.0009360813],"category_scores_gemma":[0.0002422649,0.0002049967,0.000425431,0.0003108513,0.0002158833,0.0002378552,0.0004226267,0.0005850786,0.0003955261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003699229,"about_ca_system_score_gemma":0.0003478326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328706,"about_ca_topic_score_gemma":0.00198874,"domain_scores_codex":[0.9997482,0.00005067713,0.00001627959,0.00006871226,0.0000868572,0.00002926859],"domain_scores_gemma":[0.9997367,0.00006626256,0.00005308629,0.00005796735,0.00003098466,0.00005507271],"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":[0.0001850076,0.0000700508,0.001395481,0.0001225062,0.00001916852,0.000645245,0.00008119311,0.002994643,0.9913686,0.0003874707,0.0001649584,0.002565812],"study_design_scores_gemma":[0.00007010737,0.001294208,0.01283729,0.00005001975,0.0001392617,0.005532288,0.000235037,0.03706016,0.9261028,0.0004770117,0.01614153,0.00006041577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276858,0.002317705,0.06495264,0.0001677675,0.00006776486,0.0002118055,0.00130412,0.0003483916,0.002944116],"genre_scores_gemma":[0.9758421,0.0008890372,0.02071916,0.00005759878,0.000007719968,0.0001627267,0.0009688486,0.00003102794,0.001321803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001328706,"threshold_uncertainty_score":0.003131509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009612423373388754,"score_gpt":0.2399036478264611,"score_spread":0.2302912244530723,"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."}}