{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004385852,0.0008123368,0.001112284,0.003868727,0.000924257,0.002734869,0.002548989,0.004511131,0.04687359],"category_scores_gemma":[0.03550039,0.0008418743,0.001267371,0.004674398,0.0009115122,0.001776344,0.002135783,0.004119576,0.02560977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002970953,"about_ca_system_score_gemma":0.01293685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03101202,"about_ca_topic_score_gemma":0.06976656,"domain_scores_codex":[0.995149,0.001541596,0.001147995,0.0001615874,0.001660327,0.0003394654],"domain_scores_gemma":[0.9842625,0.004193937,0.002585324,0.0005010882,0.007417026,0.001040259],"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":[0.00005707619,0.00003019534,0.0005060279,0.000933152,0.00001558131,0.00009518049,0.00005438785,0.0002725681,0.0001156067,0.002079185,0.9531558,0.04268529],"study_design_scores_gemma":[0.0001785697,0.00003130535,0.002002224,0.003235193,0.00002878928,0.0003133231,0.00006145094,0.0002229358,0.0001081088,0.002394256,0.9913931,0.00003073718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003827252,0.09506511,0.01291126,0.2332987,0.02212275,0.008323617,0.1846132,0.005231809,0.4346064],"genre_scores_gemma":[0.02806801,0.128161,0.06884464,0.1542403,0.01081122,0.01956063,0.3484076,0.004519345,0.2373872],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04687359,"threshold_uncertainty_score":0.1568078,"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."}}