{"id":"W4280560903","doi":"10.1038/s41598-022-11641-7","title":"Modelling liver cancer microenvironment using a novel 3D culture system","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Zayed Bin Sultan Center for Health Sciences, United Arab Emirates University; Consejo Nacional de Ciencia y Tecnología; Terry Fox Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Vontobel-Stiftung; Academy of Medical Sciences","keywords":"Tumor microenvironment; Metastasis; Liver cancer; Stroma; Cancer research; Hepatocellular carcinoma; Carcinogenesis; In vivo; Cancer; Biology; Crosstalk; Tumor progression; Cancer-Associated Fibroblasts; Cancer cell; Ex vivo; Cell culture; Pathology; Immunology; Medicine; Immunohistochemistry; Tumor cells; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006247978,0.0001287086,0.0002307537,0.0001030783,0.0005787429,0.00006468566,0.00005999165,0.00002711103,0.0008063368],"category_scores_gemma":[0.000003333437,0.0001132767,0.0001317798,0.000317695,0.00007893905,0.00005555218,0.0001436855,0.00017104,0.000005034351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008137402,"about_ca_system_score_gemma":0.000240993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007422112,"about_ca_topic_score_gemma":0.000008919877,"domain_scores_codex":[0.9979906,0.00001926962,0.0003480313,0.0006566845,0.0007017032,0.0002837249],"domain_scores_gemma":[0.9990177,0.000003205234,0.0002299087,0.0005600959,0.00005227816,0.0001368486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007011746,0.0003808844,0.001164771,0.0004963962,0.0001491752,0.002169635,0.002806995,0.4872884,0.4907806,0.00006321837,0.0121712,0.002458574],"study_design_scores_gemma":[0.0004214147,0.00003966409,0.00001869573,0.0001707142,0.0003569674,0.003902579,0.001215594,0.09161053,0.01231682,0.00001409395,0.8897039,0.0002290211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419915,0.0135891,0.02674176,0.0001135625,0.01438219,0.001072244,0.00006506596,0.0001060737,0.001938483],"genre_scores_gemma":[0.9682709,0.00005711026,0.01607845,0.0001074646,0.0002012205,0.00009232986,0.0000546928,0.00003268961,0.01510513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8775327,"threshold_uncertainty_score":0.8828822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290919269954391,"score_gpt":0.261633133690845,"score_spread":0.218723940991301,"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."}}