{"id":"W1979921319","doi":"10.1586/14737159.4.2.157","title":"Signature of a silent killer: expression profiling in epithelial ovarian cancer","year":2004,"lang":"en","type":"review","venue":"Expert Review of Molecular Diagnostics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Ovarian cancer; Epigenetics; Biology; Gene expression profiling; Computational biology; Profiling (computer programming); Disease; Microarray; Bioinformatics; Cancer; Gene; Gene expression; Medicine; Genetics; Internal medicine; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000325135,0.0005452718,0.001717713,0.0001320841,0.00002843251,0.000005319413,0.0006626992,0.0008152462,0.00004263036],"category_scores_gemma":[0.0005493845,0.0004482555,0.0007987138,0.0003427749,0.000141379,0.000002431145,0.0003231351,0.0003869464,0.000002517329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006129679,"about_ca_system_score_gemma":0.0006113853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004071839,"about_ca_topic_score_gemma":0.000003111589,"domain_scores_codex":[0.9971707,0.0003001518,0.00124905,0.0006983506,0.0002609028,0.0003207868],"domain_scores_gemma":[0.9977589,0.00006061369,0.0008720958,0.001024632,0.0001882115,0.00009552886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002542232,0.0009752091,0.00001312533,0.2054576,0.000438293,0.0000937179,0.0000462404,0.00003097744,0.1919078,0.001857922,0.006637749,0.5925159],"study_design_scores_gemma":[0.0002143035,0.0001220149,7.413437e-7,0.1598592,0.000207773,0.00001414238,0.000002783612,5.20888e-7,0.1219696,0.0000467171,0.7171717,0.0003905026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001640757,0.9926651,0.004473463,0.00006708211,0.000147186,0.002245571,0.0002509316,0.00001238925,0.0001219108],"genre_scores_gemma":[0.00005395222,0.984598,0.01205628,0.0003548945,0.0001191674,0.001477608,0.001238811,0.00008587142,0.00001542949],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7105339,"threshold_uncertainty_score":0.9997969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344838086439376,"score_gpt":0.3539106621097315,"score_spread":0.3404622812453378,"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."}}