{"id":"W2612678746","doi":"10.18632/oncotarget.17813","title":"Transcriptome profiling in preadipocytes identifies long noncoding RNAs as Sam68 targets","year":2017,"lang":"en","type":"article","venue":"Oncotarget","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Fonds de Recherche du Québec - Santé; Compute Canada","keywords":"HOTAIR; Transcriptome; Adipogenesis; Biology; Long non-coding RNA; Gene; Cancer research; RNA; Genetics; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120028,0.0001762744,0.0001602082,0.0003386303,0.00029821,0.0003875096,0.00009940902,0.0001615823,0.002997628],"category_scores_gemma":[0.0001545367,0.0001244218,0.0002361248,0.0003635516,0.0001494452,0.0002134768,0.0003403755,0.0003589359,0.001106623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867076,"about_ca_system_score_gemma":0.0002596732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005979024,"about_ca_topic_score_gemma":0.001947648,"domain_scores_codex":[0.9999049,0.000006665214,0.0000056723,0.00002775613,0.00003675091,0.00001826404],"domain_scores_gemma":[0.9999111,0.0000146763,0.00002125853,0.000006305688,0.00002531075,0.00002151095],"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":[0.0002118439,0.00001040939,0.003647398,0.0001388059,0.000009887304,0.0001127253,0.00007010336,0.00009906809,0.982016,0.0003273283,0.0007351515,0.01262128],"study_design_scores_gemma":[0.00005212163,0.0004463788,0.233299,0.0001121871,0.0001152686,0.0009135849,0.0008512478,0.002929654,0.71372,0.0007994499,0.04671688,0.00004412883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502912,0.01425098,0.01291209,0.0007764756,0.0002825531,0.00006565708,0.007524255,0.000377785,0.01351899],"genre_scores_gemma":[0.9595581,0.006489246,0.01026394,0.0005487825,0.00009143095,0.0001215209,0.007072854,0.0001230291,0.0157311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002997628,"threshold_uncertainty_score":0.01002812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710052553503835,"score_gpt":0.3190357150993129,"score_spread":0.3019351895642746,"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."}}