{"id":"W3131919420","doi":"10.1101/2021.02.18.431890","title":"Spatially confined sub-tumor microenvironments orchestrate pancreatic cancer pathobiology","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Ontario Institute for Cancer Research; University Health Network; University of Toronto; Princess Margaret Cancer Centre","funders":"Canadian Cancer Society Research Institute; Terry Fox Research Institute; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Pancreatic Cancer Canada Foundation; Ontario Institute for Cancer Research; Princess Margaret Cancer Foundation; Government of Ontario; Alexander von Humboldt-Stiftung","keywords":"Tumor microenvironment; Stromal cell; Pancreatic cancer; Cancer research; Extracellular matrix; Cancer-Associated Fibroblasts; Tumor progression; Biology; Immune system; Phenotype; Cancer; Immunology; Cell biology; Tumor cells; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001664151,0.0001985701,0.0002154934,0.0002993237,0.0001604295,0.000672522,0.0001004031,0.0001720424,0.002173131],"category_scores_gemma":[0.0001487532,0.0001308705,0.0001919696,0.000336934,0.0002138851,0.0002291468,0.000330335,0.0003994525,0.0004137113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282467,"about_ca_system_score_gemma":0.0001998958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004237664,"about_ca_topic_score_gemma":0.0005596357,"domain_scores_codex":[0.9998876,0.00001793715,0.000004172977,0.00003687554,0.00003219343,0.00002118336],"domain_scores_gemma":[0.9999322,0.00001196663,0.00002453027,0.00000898277,0.000009786403,0.00001254846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003230414,0.00002525634,0.01316798,0.0002796682,0.00006250729,0.0001879675,0.0001147926,0.003270181,0.9592304,0.001631661,0.001292128,0.02041436],"study_design_scores_gemma":[0.00004419994,0.0002684322,0.1797969,0.00008064917,0.0001665609,0.00130613,0.0007250552,0.01832272,0.7593368,0.004948861,0.03495225,0.00005150522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584848,0.005455456,0.02719573,0.0005790587,0.00005029239,0.00004091055,0.003319091,0.0003506976,0.004524017],"genre_scores_gemma":[0.9906061,0.001992447,0.004546439,0.00009430763,0.00002387128,0.00002730177,0.001051873,0.00003542025,0.001622371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002173131,"threshold_uncertainty_score":0.007269859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403627007490663,"score_gpt":0.2729349852000597,"score_spread":0.248898715125153,"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."}}