{"id":"W3080816877","doi":"10.1136/esmoopen-2020-000842","title":"Endocrine therapy-based treatments in hormone receptor-positive/HER2-negative advanced breast cancer: systematic review and network meta-analysis","year":2020,"lang":"en","type":"review","venue":"ESMO Open","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Centre Intégré de Santé et de Services Sociaux des Laurentides; Hôpital Charles-Le Moyne","funders":"Seagen; Servier; G1 Therapeutics; Amgen; Pfizer; Genomic Health; Genentech; AstraZeneca; Eli Lilly and Company","keywords":"Meta-analysis; Breast cancer; Hormone receptor; Oncology; Medicine; Internal medicine; Cancer; HER2 negative; Hormone therapy; Endocrine system; Hormone; Metastatic breast cancer","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","metaepi_broad","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.000558722,0.001280892,0.01923513,0.0002778654,0.0001200395,0.00009009587,0.0007222003,0.0001789811,0.001264788],"category_scores_gemma":[0.00008444121,0.0008268571,0.002124327,0.002859941,0.0001373431,0.0002824827,0.0002564542,0.000620795,0.00004976612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008455492,"about_ca_system_score_gemma":0.000577889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508911,"about_ca_topic_score_gemma":0.0002956774,"domain_scores_codex":[0.994417,0.001345407,0.001757893,0.001364076,0.000492267,0.0006233921],"domain_scores_gemma":[0.9961557,0.0005835799,0.001575873,0.001131668,0.0002108003,0.0003423674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0005365387,0.0002815667,0.00002337368,0.3502613,0.3949622,0.0002152503,0.000115771,0.00003836142,2.983958e-7,0.00001960944,0.0002063575,0.2533394],"study_design_scores_gemma":[0.002899506,0.00032905,0.0001262169,0.161662,0.7089428,0.0001242699,0.00002457748,0.000006444955,0.000002401172,0.00001994151,0.1250405,0.0008222337],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.003087e-7,0.9798998,0.00004238119,0.002000683,0.00004563028,0.01660798,0.001142324,0.00005859643,0.0002020439],"genre_scores_gemma":[0.0000230424,0.9816136,0.002163366,0.00214371,0.00009817896,0.01232779,0.0006517644,0.0001732536,0.0008053048],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3139807,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08004028103045263,"score_gpt":0.3948734691561016,"score_spread":0.314833188125649,"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."}}