{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003292325,0.0003515197,0.0003301603,0.0001413277,0.0001007183,0.0001668572,0.0009136148,0.0004597407,0.0003912185],"category_scores_gemma":[0.00005184046,0.0003599722,0.0001092032,0.0004273653,0.00004121651,0.00009192278,0.0001937839,0.0004128749,0.00008215781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003659698,"about_ca_system_score_gemma":0.001339303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011029,"about_ca_topic_score_gemma":0.0007804257,"domain_scores_codex":[0.9976573,0.00006492324,0.0007174485,0.0005356373,0.000447891,0.0005767811],"domain_scores_gemma":[0.9979908,0.00001147588,0.0001982755,0.001281825,0.000184535,0.0003330176],"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":[0.0002024472,0.000009069041,0.00006692795,0.00008022322,0.0002765256,0.000001579507,0.001703269,0.01306485,0.9439386,0.00002629965,0.0281385,0.01249169],"study_design_scores_gemma":[0.003807873,0.0003383631,0.00007732675,0.0004400609,0.0002281894,0.00001192377,0.001331689,0.08540943,0.7767003,0.000218125,0.1301997,0.00123702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947714,0.008630374,0.03459718,0.001184579,0.002312734,0.002453475,0.002343012,0.00008383521,0.0006808116],"genre_scores_gemma":[0.9701628,0.005528062,0.008492921,0.004542643,0.0006148887,0.000185626,0.006352267,0.0001732856,0.003947505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1672383,"threshold_uncertainty_score":0.9998852,"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."}}