{"id":"W3199556667","doi":"10.1158/2159-8290.cd-20-1826","title":"<i>MYC</i> Levels Regulate Metastatic Heterogeneity in Pancreatic Adenocarcinoma","year":2021,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; Cancer Research Society; National Cancer Institute; National Institutes of Health; Albert Einstein Cancer Center; Cancer Prevention and Research Institute of Texas","keywords":"Adenocarcinoma; Metastatic adenocarcinoma; Cancer research; Pancreatic cancer; Biology; Computational biology; Internal medicine; Medicine; Genetics; Cancer","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":[0.0002860239,0.0001952343,0.0007765224,0.0001088572,0.00005907246,0.00004084213,0.0001061468,0.00008657022,0.0004773767],"category_scores_gemma":[0.0001745594,0.0001681464,0.0001450319,0.0004301057,0.0001590965,0.0002206955,0.00009681298,0.0002838191,0.00005429683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779992,"about_ca_system_score_gemma":0.001382824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003208461,"about_ca_topic_score_gemma":0.0005798285,"domain_scores_codex":[0.9981062,0.0001874616,0.0003931277,0.0004620763,0.0003495251,0.0005015707],"domain_scores_gemma":[0.9989477,0.0001843642,0.00007191205,0.000521942,0.0001057975,0.0001682585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002250239,0.0002149448,0.9841035,0.0003282707,0.0002914782,0.001301395,0.000200021,0.00001857532,0.01125936,0.0002813564,0.0008381385,0.0009379441],"study_design_scores_gemma":[0.002737353,0.0001317911,0.9798327,0.0004070055,0.0004221023,0.0002555406,0.0002369096,0.0003660786,0.01422608,0.0006007178,0.000591609,0.0001921127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819048,0.01270745,0.0002977052,0.001487121,0.0001615969,0.0003640515,0.00006959406,0.00002586594,0.002981791],"genre_scores_gemma":[0.9883119,0.001152598,0.0006877182,0.001171077,0.0001378877,0.0001711682,0.0000384081,0.00003012868,0.008299051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01155485,"threshold_uncertainty_score":0.6856809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07754662686714059,"score_gpt":0.3729336494755222,"score_spread":0.2953870226083816,"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."}}