{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002607522,0.0005163043,0.0004624186,0.0004396666,0.0003559967,0.0009855542,0.000519839,0.0007817042,0.001123113],"category_scores_gemma":[0.0002220489,0.0003033127,0.0006385266,0.0004445761,0.0002512735,0.0003397639,0.0004931398,0.0005009844,0.0006271946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005257003,"about_ca_system_score_gemma":0.0006104984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003391514,"about_ca_topic_score_gemma":0.004635688,"domain_scores_codex":[0.9997392,0.00003560168,0.00002352167,0.00006134651,0.0001133424,0.00002700867],"domain_scores_gemma":[0.9998344,0.00005691882,0.00003025102,0.00003052645,0.00003022379,0.00001759351],"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":[0.0001041315,0.00008931221,0.001535335,0.0003913808,0.00003662109,0.0005936282,0.0001953442,0.08721982,0.8956214,0.001831565,0.0006132513,0.01176826],"study_design_scores_gemma":[0.00004243081,0.0003557618,0.004583858,0.00006428589,0.0001266191,0.001070879,0.0001620425,0.383644,0.5795586,0.0009145615,0.0293233,0.000153763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4117189,0.005515247,0.5631881,0.0005626853,0.0003717232,0.0003967841,0.00368684,0.002430451,0.01212919],"genre_scores_gemma":[0.7500482,0.005397337,0.2375862,0.0001462767,0.00005599362,0.0007629375,0.00210955,0.000164592,0.003728928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003391514,"threshold_uncertainty_score":0.00674355,"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."}}