{"id":"W2985558334","doi":"10.6004/jnccn.2019.0039","title":"NCCN Guidelines Insights: Ovarian Cancer, Version 1.2019","year":2019,"lang":"en","type":"article","venue":"Journal of the National Comprehensive Cancer Network","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":332,"is_retracted":false,"has_abstract":true,"ca_institutions":"AstraZeneca (Canada)","funders":"Genentech; Puma Biotechnology; Clovis Oncology; Eisai; National Comprehensive Cancer Network; Gilead Sciences; Novartis Pharmaceuticals Corporation; Biogen; Celgene; Bristol-Myers Squibb; AstraZeneca; Genomic Health; Amgen","keywords":"Medicine; Bevacizumab; Ovarian cancer; Chemotherapy; Oncology; Cytoreductive surgery; Internal medicine; Disease; Cancer; Hyperthermic intraperitoneal chemotherapy; Intensive care medicine","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":[0.0001309046,0.0001925881,0.0004536655,0.00009673142,0.000128709,0.00002783725,0.000235688,0.00009149441,0.0007602106],"category_scores_gemma":[0.00006074179,0.0001172562,0.000344653,0.000414644,0.00004571317,0.0001389281,0.00008214694,0.000333289,0.00004239155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008540065,"about_ca_system_score_gemma":0.0008924218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009748219,"about_ca_topic_score_gemma":0.0000150124,"domain_scores_codex":[0.9979452,0.00007375648,0.0005775671,0.0001968521,0.0009916872,0.000214874],"domain_scores_gemma":[0.9954908,0.0001967473,0.0006469424,0.0001802413,0.003360002,0.0001252298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008588617,0.000143982,0.06013178,0.00005776799,0.001144903,0.00001535392,0.00009909535,0.08670335,0.0009192406,0.001072322,0.8454726,0.003380731],"study_design_scores_gemma":[0.004944087,0.0002905617,0.224778,0.001659486,0.0003830802,0.0001019181,0.00005098335,0.0009574787,0.00049859,0.001352036,0.7648088,0.0001749654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6719925,0.1626175,0.00007225763,0.1328786,0.02451852,0.001699909,0.0001483098,0.0000471406,0.006025264],"genre_scores_gemma":[0.9547421,0.00995716,0.001405041,0.0226467,0.008588994,0.00002755317,0.00001099173,0.00004646027,0.002575018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2827496,"threshold_uncertainty_score":0.8323774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05275035830377755,"score_gpt":0.3485380236263211,"score_spread":0.2957876653225435,"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."}}