{"id":"W2039671244","doi":"10.3389/fonc.2014.00163","title":"Differential Angiogenic Gene Expression in TP53 Wild-Type and Mutant Ovarian Cancer Cell Lines","year":2014,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"National Cancer Institute; Ovarian Cancer Research Fund","keywords":"Angiogenesis; Cancer research; Biology; Downregulation and upregulation; Microarray analysis techniques; Vascular endothelial growth factor A; Cell culture; Angiopoietin; Gene expression profiling; Molecular biology; Gene expression; Vascular endothelial growth factor; Gene; Genetics","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":[0.0001316236,0.0001387497,0.0001719956,0.0004462713,0.0001139587,0.0002002153,0.00009356461,0.0001454075,0.001150457],"category_scores_gemma":[0.0001975693,0.00007703444,0.0001331748,0.0003173263,0.0001419323,0.0001054334,0.00009748459,0.0001568265,0.0001910733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655678,"about_ca_system_score_gemma":0.0001116174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005398703,"about_ca_topic_score_gemma":0.0006587756,"domain_scores_codex":[0.9998223,0.00001932898,0.00002063899,0.0000392687,0.00006634475,0.00003210083],"domain_scores_gemma":[0.9998429,0.00004515756,0.00003988829,0.0000172871,0.00002898784,0.00002574493],"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":[0.0001885331,0.00002605744,0.004914423,0.00002884232,0.00001032747,0.0001102714,0.00003652041,0.00005431908,0.9935482,0.00003799573,0.00004690338,0.000997666],"study_design_scores_gemma":[0.0000412905,0.0009076726,0.1320986,0.000007042264,0.00005938227,0.001873952,0.0001461279,0.00144772,0.8607486,0.00007535613,0.002584449,0.000009859831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977862,0.0004437517,0.0007319272,0.0000216353,0.000007422687,0.00001351524,0.0006888937,0.00001999668,0.0002867446],"genre_scores_gemma":[0.9951466,0.0004311681,0.001621195,0.00003118445,0.000008812721,0.00007501651,0.001902963,0.000009173171,0.0007739812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001150457,"threshold_uncertainty_score":0.003848672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008169592014092092,"score_gpt":0.2588345311964853,"score_spread":0.2506649391823932,"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."}}