{"id":"W2921122028","doi":"10.1177/1176935119835522","title":"Transcriptomics Signature from Next-Generation Sequencing Data Reveals New Transcriptomic Biomarkers Related to Prostate Cancer","year":2019,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; University of Windsor","keywords":"Prostate cancer; Transcriptome; Cancer; Disease; Biomarker discovery; Prostate; Informatics; Medicine; Computational biology; Bioinformatics; Oncology; Internal medicine; Biology; Proteomics; Gene; Gene expression; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003060306,0.000225203,0.0002831182,0.0008663335,0.0001919372,0.000581232,0.0001290753,0.0003187502,0.0008809487],"category_scores_gemma":[0.000793675,0.00009967107,0.0003184826,0.0008069152,0.0001492082,0.00023735,0.0002185653,0.0003932311,0.0003415268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584944,"about_ca_system_score_gemma":0.0003142282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009415546,"about_ca_topic_score_gemma":0.001848283,"domain_scores_codex":[0.9998118,0.00002629744,0.00001574247,0.0000611838,0.00005453245,0.00003036908],"domain_scores_gemma":[0.9996089,0.0001168503,0.0001248335,0.00002936012,0.00007768429,0.0000423064],"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":[0.0004025376,0.00005821169,0.08685494,0.0002014854,0.0001133729,0.0002632028,0.0001016366,0.001546789,0.887047,0.0004549417,0.0007817347,0.02217413],"study_design_scores_gemma":[0.00002768989,0.0003579314,0.7166825,0.00007815431,0.0002979617,0.001488038,0.0003802301,0.03868497,0.2279336,0.002900639,0.01109711,0.0000712195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652944,0.002767854,0.02001325,0.000527646,0.00007216783,0.00005573624,0.00878491,0.0003367576,0.00214739],"genre_scores_gemma":[0.9728134,0.001033751,0.0147342,0.0003277985,0.00004749766,0.0000559291,0.009680075,0.00004412583,0.001263191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009415546,"threshold_uncertainty_score":0.002947092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05256174692336313,"score_gpt":0.3053410649941832,"score_spread":0.2527793180708201,"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."}}