{"id":"W3206160743","doi":"10.1016/j.celrep.2021.109817","title":"Proteotranscriptomic classification and characterization of pancreatic neuroendocrine neoplasms","year":2021,"lang":"en","type":"article","venue":"Cell Reports","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Centre for Advancing Health Outcomes; Pancreas Centre (Canada); University of British Columbia; Canada's Michael Smith Genome Sciences Centre; Simon Fraser University","funders":"BC Cancer Foundation; Institute of Development and Economic Alternatives; University of Alberta; Neuroendocrine Tumor Research Foundation; American Association for Cancer Research","keywords":"Biology; PDX1; Transcriptome; Stromal cell; Computational biology; Cancer research; Mesenchymal stem cell; Bioinformatics; Genetics; Gene; Transcription factor; Gene expression","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":[0.0004169322,0.0002738349,0.0002755651,0.001810119,0.0002563073,0.0006096866,0.0001397007,0.0001699223,0.0005254401],"category_scores_gemma":[0.0006235506,0.00008020135,0.0003512212,0.001010776,0.0002020479,0.0002400285,0.0004972846,0.0002259444,0.0001663213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535729,"about_ca_system_score_gemma":0.0001871739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004504091,"about_ca_topic_score_gemma":0.0008794499,"domain_scores_codex":[0.999785,0.0000349246,0.00002528488,0.00006488845,0.00005723492,0.00003268508],"domain_scores_gemma":[0.9997843,0.00005660855,0.00007797897,0.00002799594,0.00002535712,0.00002774548],"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":[0.000558741,0.00006991951,0.2916733,0.0002558493,0.0003241292,0.0009978377,0.0003880079,0.0008655713,0.6572793,0.0005216532,0.0005949202,0.04647071],"study_design_scores_gemma":[0.00001398531,0.0001436272,0.9442552,0.00003297586,0.0002011786,0.003172088,0.0004709431,0.005234252,0.03936474,0.001471305,0.005617164,0.00002256718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897655,0.00198592,0.004509787,0.0001380012,0.0000147703,0.00003053381,0.002724218,0.00004465547,0.0007866831],"genre_scores_gemma":[0.9882771,0.001015993,0.00458854,0.00007529507,0.00001888683,0.00003987162,0.005516402,0.00001895573,0.0004489947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001810119,"threshold_uncertainty_score":0.002205014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934524649968558,"score_gpt":0.2753284828147285,"score_spread":0.2559832363150429,"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."}}