{"id":"W2763839535","doi":"10.24870/cjb.2017-a52","title":"Comparative Study of Transcriptomic profiling and Functional enrichment in Ovarian Cancer Cell lines","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Biotechnology","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ovarian cancer; Transcriptome; Profiling (computer programming); Computational biology; Cancer cell lines; Biology; Cancer research; Oncology; Cancer cell; Medicine; Cancer; Gene; Genetics; Computer science; Gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003510895,0.0002727133,0.0004350755,0.001222444,0.0003607315,0.0004809709,0.0001959632,0.0002486845,0.001530488],"category_scores_gemma":[0.0003959177,0.0001208092,0.0005128146,0.00120953,0.0001871494,0.0002224815,0.0002666439,0.0004865832,0.0006146143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162824,"about_ca_system_score_gemma":0.0002647871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007968112,"about_ca_topic_score_gemma":0.001150084,"domain_scores_codex":[0.9996241,0.00003577373,0.00003657872,0.0001050402,0.0001382726,0.00006015739],"domain_scores_gemma":[0.9997736,0.00007002611,0.00002542474,0.00002515011,0.00007889061,0.00002699827],"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":[0.000205868,0.00003451372,0.004451766,0.0002504712,0.00004329931,0.0001943778,0.0001420952,0.0001821308,0.9878155,0.000150674,0.000439195,0.006090195],"study_design_scores_gemma":[0.00005161631,0.000693196,0.1817705,0.00005693507,0.0003327856,0.001466542,0.0005986531,0.003745828,0.7704463,0.0004203612,0.04036329,0.00005407898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396064,0.00531529,0.02549716,0.0002775161,0.0001563522,0.0002990736,0.02298867,0.0006489494,0.005210584],"genre_scores_gemma":[0.8987427,0.004873194,0.03375966,0.0004848142,0.00006563831,0.00117908,0.05353729,0.0003208465,0.00703673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001530488,"threshold_uncertainty_score":0.005120039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815295104729921,"score_gpt":0.2779158235659016,"score_spread":0.2497628725186024,"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."}}