{"id":"W2802042505","doi":"10.1093/gigascience/giy050","title":"The long noncoding RNA landscape of neuroendocrine prostate cancer and its clinical implications","year":2018,"lang":"en","type":"article","venue":"GigaScience","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Simon Fraser University; Genome British Columbia; University of British Columbia","funders":"Terry Fox Foundation; Prostate Cancer Canada","keywords":"Prostate cancer; RNA; Prostate; Non-coding RNA; Computational biology; Long non-coding RNA; Cancer; Biology; Bioinformatics; Medicine; Internal medicine; Genetics; Gene","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":[0.0004674125,0.0002653869,0.0002994056,0.0003769844,0.0002960782,0.0006693202,0.0003438663,0.0003220918,0.001170306],"category_scores_gemma":[0.0009240294,0.0002089514,0.0003833733,0.0004527738,0.0003171512,0.0003346718,0.0006015546,0.0005243911,0.0004322924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004269852,"about_ca_system_score_gemma":0.0005767833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002418899,"about_ca_topic_score_gemma":0.005602598,"domain_scores_codex":[0.9997154,0.00003713505,0.00001590641,0.0001231357,0.000079725,0.00002872438],"domain_scores_gemma":[0.9996375,0.0001611288,0.00007872927,0.00003079762,0.0000534594,0.00003833746],"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":[0.001069139,0.0001041111,0.2374626,0.001904293,0.0002713233,0.001278937,0.0007286793,0.03785723,0.5428118,0.003054251,0.00779237,0.1656654],"study_design_scores_gemma":[0.0001077191,0.001172429,0.4477878,0.0004895957,0.0005318917,0.0053759,0.001043916,0.2062864,0.2216948,0.02227347,0.092934,0.0003020779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916684,0.01008493,0.06928816,0.001380569,0.0001083956,0.00008992292,0.0217114,0.001756987,0.003911253],"genre_scores_gemma":[0.9397793,0.003175596,0.03733209,0.0006850029,0.00004475376,0.0001418107,0.01736146,0.0003703474,0.001109689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002418899,"threshold_uncertainty_score":0.004809618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267332003243016,"score_gpt":0.3659789279898318,"score_spread":0.3392457276655302,"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."}}