{"id":"W4361255015","doi":"10.1158/0008-5472.c.6493899","title":"Data from &lt;i&gt;In vitro&lt;/i&gt; Modeling of Human Pancreatic Duct Epithelial Cell Transformation Defines Gene Expression Changes Induced by K-&lt;i&gt;ras&lt;/i&gt; Oncogenic Activation in Pancreatic Carcinogenesis","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research; U.S. Public Health Service; University of Pennsylvania","keywords":"Carcinogenesis; Pancreatic Intraepithelial Neoplasia; Cancer research; Oncogene; Biology; Pancreatic duct; Pancreatic cancer; Molecular biology; Pancreas; Cell culture; Cell; Gene; Cell cycle; Cancer; Endocrinology; 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":[0.0005787484,0.0007048962,0.0006140955,0.0007971814,0.0004906487,0.0006119804,0.0003534998,0.000548312,0.01767528],"category_scores_gemma":[0.0004679597,0.0002421135,0.0008505721,0.0007554189,0.0004131127,0.0003922414,0.0002890616,0.001351353,0.006670568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004514257,"about_ca_system_score_gemma":0.0003778409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003291546,"about_ca_topic_score_gemma":0.001731202,"domain_scores_codex":[0.9992693,0.0001231362,0.0001395257,0.0001475271,0.0002095306,0.0001110171],"domain_scores_gemma":[0.9991724,0.0002824288,0.0000499382,0.0002462047,0.0001403982,0.0001085592],"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":[0.00105389,0.0003682942,0.00117784,0.0001483249,0.00003278677,0.0001648566,0.0001275508,0.0005528092,0.9875787,0.0005409258,0.001407549,0.006846497],"study_design_scores_gemma":[0.00003145398,0.000702711,0.004497903,0.00001327471,0.00004625275,0.0003703131,0.0001162597,0.0008496344,0.9731126,0.0001431642,0.0201011,0.00001533239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7975051,0.006299252,0.05194678,0.001314845,0.0006999699,0.0005938638,0.08133285,0.001600625,0.05870664],"genre_scores_gemma":[0.834694,0.004583992,0.01925838,0.0004827109,0.00007434364,0.001004116,0.08975243,0.0005622517,0.04958777],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01767528,"threshold_uncertainty_score":0.05912971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021431580489706,"score_gpt":0.3335519875189002,"score_spread":0.2314088294699296,"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."}}