{"id":"W4284886537","doi":"10.1038/s41598-022-13948-x","title":"Investigating the mechanisms of peritoneal metastasis in gastric adenocarcinoma using a novel ex vivo peritoneal explant model","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Intraperitoneal and Appendiceal Malignancies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Sinai Health System","funders":"Temerty Faculty of Medicine, University of Toronto; Canadian Institutes of Health Research; University of Toronto; Princess Margaret Cancer Foundation","keywords":"Ex vivo; Peritoneum; Peritoneal cavity; Metastasis; Pathology; In vivo; Explant culture; Adenocarcinoma; Cancer research; Mesothelial Cell; Medicine; Cancer; Biology; In vitro; Internal medicine; Anatomy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002203142,0.0002394805,0.0004900775,0.0003739648,0.0007794063,0.00008886613,0.0002307649,0.00005277391,0.0002472333],"category_scores_gemma":[0.0001114803,0.0001842719,0.0001930551,0.001259059,0.0004434948,0.000147932,0.0003670703,0.0004118978,0.000001299443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001829151,"about_ca_system_score_gemma":0.0007088855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005658615,"about_ca_topic_score_gemma":0.00002848252,"domain_scores_codex":[0.9963274,0.00009452696,0.0009506895,0.0007531238,0.00130956,0.0005646952],"domain_scores_gemma":[0.9984621,0.00004187854,0.0004942525,0.0007058433,0.0001312448,0.0001646229],"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":[0.00003804509,0.0002574054,0.003804468,0.00009555885,0.00003228995,0.0006581931,0.003311052,0.00989903,0.9801354,0.001340857,0.0002680004,0.000159708],"study_design_scores_gemma":[0.001623654,0.0006616487,0.004419602,0.0004535613,0.0004788738,0.03552862,0.02682999,0.4085733,0.5038748,0.015271,0.0013591,0.0009258709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953459,0.0003020411,0.001359855,0.0003340636,0.001595214,0.0006227822,0.0000489285,0.00003638699,0.000354813],"genre_scores_gemma":[0.9859236,0.000001337707,0.01328365,0.000149813,0.00006024433,0.00007286427,0.00003944473,0.00003029245,0.0004387094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4762606,"threshold_uncertainty_score":0.7514392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05044546869497173,"score_gpt":0.269581452143193,"score_spread":0.2191359834482212,"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."}}