{"id":"W4307585380","doi":"10.1002/adhm.202201846","title":"An Engineered Paper‐Based 3D Coculture Model of Pancreatic Cancer to Study the Impact of Tissue Architecture and Microenvironmental Gradients on Cell Phenotype","year":2022,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research; Ontario Institute for Cancer Research; University of Toronto; University Health Network; Princess Margaret Cancer Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Stromal cell; Phenotype; Pancreatic cancer; Tumor microenvironment; Biology; Cancer cell; Organoid; Cell; Cancer research; Cancer; Cell biology; Pathology; Tumor cells; Medicine; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002225897,0.000387008,0.0002354961,0.0003542963,0.0002800256,0.0005751942,0.0004274543,0.0006315253,0.001027646],"category_scores_gemma":[0.0001076615,0.0002139086,0.0004100079,0.0003636266,0.0002727838,0.000203865,0.0003529335,0.0006755959,0.0003435806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004625033,"about_ca_system_score_gemma":0.0005442838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582269,"about_ca_topic_score_gemma":0.00400012,"domain_scores_codex":[0.9998222,0.00002233259,0.00001250908,0.00004506783,0.00007580854,0.00002214065],"domain_scores_gemma":[0.999795,0.00006066075,0.00004213332,0.0000494076,0.0000172762,0.00003549226],"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":[0.0001051045,0.00009563195,0.0008242005,0.00007880097,0.00001465571,0.0004235719,0.00007216558,0.00692155,0.9861686,0.0007422433,0.0001912483,0.004362198],"study_design_scores_gemma":[0.00003319293,0.0006105857,0.007745659,0.00002606993,0.00006178771,0.001069081,0.00009791122,0.04645953,0.9264446,0.0003202533,0.01709954,0.0000316618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8967358,0.001862649,0.08997493,0.0002104876,0.0001869849,0.0001547796,0.00203205,0.0004861392,0.008356089],"genre_scores_gemma":[0.9365475,0.001208405,0.05593676,0.00008616974,0.00001722616,0.0002536926,0.001005437,0.00006607065,0.004878805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002582269,"threshold_uncertainty_score":0.005134463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754392216187415,"score_gpt":0.3250747519306409,"score_spread":0.3075308297687667,"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."}}