{"id":"W3033283870","doi":"10.1186/s13045-020-00894-2","title":"PTENP1 is a ceRNA for PTEN: it’s CRISPR clear","year":2020,"lang":"en","type":"article","venue":"Journal of Hematology & Oncology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Institutes of Health; National Cancer Institute; Associazione Italiana per la Ricerca sul Cancro","keywords":"Competing endogenous RNA; PTEN; CRISPR; Pseudogene; Biology; Computational biology; microRNA; Gene; Genetics; RNA; Bioinformatics; PI3K/AKT/mTOR pathway; Cancer research; Long non-coding RNA; Genome; Signal transduction","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":[0.0004281689,0.0004791725,0.0004483133,0.0003236904,0.0005310195,0.0008902874,0.0005652374,0.001008156,0.004094434],"category_scores_gemma":[0.0007284016,0.0003256742,0.0004460181,0.0001985074,0.0007671849,0.0005471441,0.0008141168,0.002174209,0.001857659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004576001,"about_ca_system_score_gemma":0.0006581101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000891918,"about_ca_topic_score_gemma":0.001534591,"domain_scores_codex":[0.9993052,0.00005161859,0.00003970407,0.0001762431,0.0003314808,0.00009570055],"domain_scores_gemma":[0.9995914,0.0001144429,0.00007911702,0.00008896265,0.00004189249,0.0000841022],"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":[0.00008477002,0.00002649619,0.0003951303,0.00008439075,0.00001525996,0.0003053707,0.00005325992,0.0003412974,0.9865151,0.002395107,0.0008399295,0.008943881],"study_design_scores_gemma":[0.00001728812,0.0001411844,0.001232747,0.00001339752,0.00002312709,0.001081357,0.00004631621,0.001551544,0.9660563,0.0005684925,0.02924495,0.0000232246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6531637,0.003729135,0.2872906,0.004359955,0.00202655,0.00031704,0.002678048,0.007809728,0.03862524],"genre_scores_gemma":[0.9219138,0.00130027,0.05296193,0.001110579,0.0000646894,0.0001560293,0.001758741,0.0009285743,0.01980533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004094434,"threshold_uncertainty_score":0.01369721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690685938457701,"score_gpt":0.3582913759758619,"score_spread":0.3213845165912849,"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."}}