{"id":"W1948212811","doi":"10.1186/s12967-015-0637-3","title":"Nuclear heterogeneous nuclear ribonucleoprotein D is associated with poor prognosis and interactome analysis reveals its novel binding partners in oral cancer","year":2015,"lang":"en","type":"article","venue":"Journal of Translational Medicine","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; IONICS Mass Spectrometry (Canada); York University; University of Windsor; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Council of Scientific and Industrial Research, India; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Interactome; Ribonucleoprotein; Cancer; Computational biology; Medicine; Bioinformatics; Cancer research; Biology; Internal medicine; Genetics; RNA; 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":[0.0006170605,0.0001194311,0.0003252054,0.000285646,0.00003912856,0.00001925677,0.0001119096,0.00008289015,0.00006325909],"category_scores_gemma":[0.0001913502,0.00008561543,0.00007168227,0.0003699525,0.00007487385,0.0000206026,0.00001547828,0.0001493111,6.808921e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003984074,"about_ca_system_score_gemma":0.00007955364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005937588,"about_ca_topic_score_gemma":0.0001668122,"domain_scores_codex":[0.9987573,0.00006151119,0.0003759547,0.0001627691,0.0004466052,0.0001958776],"domain_scores_gemma":[0.9991661,0.00002793867,0.0002228214,0.00005809861,0.0003042238,0.000220814],"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":[0.001676868,0.0001672177,0.08751678,0.00002847137,0.001761705,0.00007898307,0.0008358207,0.001449389,0.9041989,0.00001787698,0.0007007057,0.001567268],"study_design_scores_gemma":[0.08618408,0.03396588,0.6344606,0.007976483,0.006602594,0.00193391,0.004936482,0.1027749,0.09174455,0.000330307,0.02557009,0.003520229],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947407,0.000768256,0.00008694031,0.004194212,0.00002817444,0.0001193483,0.00002114432,0.00000262289,0.00003862536],"genre_scores_gemma":[0.9988537,0.0001293196,0.0004393347,0.0003455884,0.0001073534,0.000002683867,0.00001802587,0.0000181535,0.00008581748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8124543,"threshold_uncertainty_score":0.3491296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04623875387768343,"score_gpt":0.3404958652828844,"score_spread":0.294257111405201,"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."}}