{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000463455,0.0002148131,0.0006687983,0.0001174946,0.00009322411,0.00001672583,0.0005443381,0.0006245688,0.0002247175],"category_scores_gemma":[0.0005820845,0.0002000979,0.0004292183,0.0001395281,0.0001614889,0.000007900244,0.0001987186,0.0005041187,0.00004537106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007320759,"about_ca_system_score_gemma":0.0007611687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004811494,"about_ca_topic_score_gemma":0.00001495535,"domain_scores_codex":[0.9980076,0.0001621165,0.0007133452,0.0003774319,0.0002395628,0.0004999729],"domain_scores_gemma":[0.9982578,0.00007838536,0.000507734,0.0002636656,0.0005559056,0.0003365779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004082106,0.0002368302,0.00007253737,0.0001096321,0.0007145421,0.0004562153,0.0004565261,0.00008106192,0.567448,0.001779776,0.4198354,0.004727323],"study_design_scores_gemma":[0.002660267,0.005952912,0.00001385454,0.00001752892,0.0001010587,0.002346382,0.0003431327,0.0002228318,0.2871505,0.0003880078,0.7006264,0.0001771792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1769812,0.01693684,0.4634273,0.3265633,0.00388094,0.00244021,0.0001297774,0.00006649026,0.009574021],"genre_scores_gemma":[0.9509172,0.001409426,0.01012589,0.03535848,0.001489901,0.00004794956,0.00002379805,0.0001088292,0.0005184624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7739361,"threshold_uncertainty_score":0.8159757,"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."}}