{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003318197,0.0000703656,0.00007566255,0.00002411026,0.0002323413,0.00003249496,0.0003012526,0.0000286042,0.000006862565],"category_scores_gemma":[0.0002412278,0.00005216075,0.00003647348,0.0002039872,0.0003497267,0.000005327968,0.0002557818,0.00009497818,0.000003640417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000604129,"about_ca_system_score_gemma":0.0001642782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001276256,"about_ca_topic_score_gemma":0.0001108394,"domain_scores_codex":[0.9990514,0.00004472396,0.0001863981,0.0003130667,0.0001487192,0.000255702],"domain_scores_gemma":[0.9993071,0.00002777601,0.0000771163,0.0002969176,0.000201872,0.00008920787],"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":[0.0000450727,0.00001554786,0.001845827,0.000007076703,0.00001174247,0.000001666992,0.00001932243,0.00001463204,0.9700527,0.0005029805,0.000518499,0.02696489],"study_design_scores_gemma":[0.0004025107,0.0004582041,0.01287284,0.00001856901,0.00001127372,0.00003568615,0.00002179746,0.00124074,0.973871,0.0001358636,0.01081993,0.0001116163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992377,0.002150665,0.002221667,0.002081825,0.0002348604,0.0002724007,0.00001802023,0.000007765362,0.0006358222],"genre_scores_gemma":[0.995722,0.003330402,0.00009468311,0.0001472132,0.0001406324,0.0000317053,0.000002782147,0.000008800741,0.0005218004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02685328,"threshold_uncertainty_score":0.2127054,"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."}}