{"id":"W2123144054","doi":"10.1111/boc.201400097","title":"Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer","year":2015,"lang":"en","type":"article","venue":"Biology of the Cell","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"","keywords":"Prostate cancer; Metastasis; Transcriptome; Biology; Prostatectomy; Disease; Biomarker; Biochemical recurrence; Bioinformatics; Computational biology; Cancer; Internal medicine; Medicine; Gene; Genetics; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005175422,0.0003488169,0.0004205022,0.001108223,0.0001944475,0.0007715289,0.0002264745,0.000328657,0.001418167],"category_scores_gemma":[0.001374093,0.0001061229,0.0003477295,0.001653303,0.0001820343,0.0003687956,0.0004203023,0.0004564292,0.0003723449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002878777,"about_ca_system_score_gemma":0.0002226512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004659483,"about_ca_topic_score_gemma":0.001063763,"domain_scores_codex":[0.9996924,0.0000448649,0.00002425197,0.0001177793,0.00008193864,0.0000386607],"domain_scores_gemma":[0.9991031,0.0003112702,0.0003196995,0.00006745591,0.0001250496,0.00007346226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001353197,0.0001284184,0.6172762,0.001164117,0.0006114607,0.0004965279,0.0002296186,0.00429407,0.2808812,0.0007411616,0.003429413,0.08939467],"study_design_scores_gemma":[0.00002065941,0.000366665,0.9459306,0.0001384134,0.0003738955,0.001146019,0.0002526049,0.01048863,0.0297355,0.002322142,0.009170634,0.00005429442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931281,0.01370981,0.01881305,0.001028014,0.0001280715,0.00006752512,0.03248755,0.0003738238,0.002111126],"genre_scores_gemma":[0.9710655,0.002651835,0.0101228,0.000413303,0.0001103638,0.00007538642,0.01484358,0.00004957635,0.0006676864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001418167,"threshold_uncertainty_score":0.004744291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03619424151469582,"score_gpt":0.2983284391416851,"score_spread":0.2621341976269893,"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."}}