{"id":"W2100674628","doi":"10.1371/journal.pone.0022469","title":"Microarray-Based Oncogenic Pathway Profiling in Advanced Serous Papillary Ovarian Carcinoma","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Hôtel-Dieu de Québec","funders":"","keywords":"Serous fluid; Serous carcinoma; Ovarian cancer; Oncology; Gene signature; Internal medicine; Cancer research; Medicine; Ovarian carcinoma; Tissue microarray; Biology; Gene expression profiling; Cancer; Gene; Gene expression","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":[0.001610185,0.0002220953,0.0007079007,0.000895494,0.0001989023,0.0005496246,0.0002607059,0.0002324159,0.000716345],"category_scores_gemma":[0.001653297,0.0001681571,0.0008965548,0.001737493,0.0001508899,0.0001844246,0.0003303571,0.0001930084,0.0001014193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593741,"about_ca_system_score_gemma":0.0003568112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210872,"about_ca_topic_score_gemma":0.002276995,"domain_scores_codex":[0.9992974,0.0002455093,0.00005803744,0.0001886776,0.0001680649,0.00004226681],"domain_scores_gemma":[0.9988944,0.0004338597,0.000349183,0.0001675229,0.0001155791,0.00003953905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001564978,0.00005104719,0.9367875,0.0005972905,0.003608648,0.000125626,0.0000673656,0.001891459,0.02250554,0.0000790734,0.0005847165,0.03213686],"study_design_scores_gemma":[0.00003635166,0.0002637081,0.9862522,0.0000401726,0.00270836,0.0005540304,0.00009163365,0.003385407,0.004214232,0.0002825103,0.002158495,0.00001288785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98243,0.01065483,0.002490243,0.0001588716,0.00001902793,0.00002813882,0.003550681,0.00005703289,0.0006113021],"genre_scores_gemma":[0.9949383,0.001303161,0.001579458,0.00005129518,0.00001491957,0.00003369563,0.001909057,0.000005672899,0.0001644451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001610185,"threshold_uncertainty_score":0.008515596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06805918831649078,"score_gpt":0.233685789123016,"score_spread":0.1656266008065252,"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."}}