{"id":"W4310042477","doi":"10.3390/curroncol29120718","title":"Optimal Choice as First-Line Therapy for Patients with Triple-Negative Breast Cancer: A Bayesian Network Meta-Analysis","year":2022,"lang":"en","type":"review","venue":"Current Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine; Oncology; Hazard ratio; Meta-analysis; Regimen; Adverse effect; Cochrane Library; Clinical endpoint; Triple-negative breast cancer; Confidence interval; Randomized controlled trial; Breast cancer; Chemotherapy; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02520213,0.002684775,0.01138397,0.004788945,0.0003596847,0.002199981,0.001699314,0.002314322,0.004179254],"category_scores_gemma":[0.04041421,0.001206065,0.02654353,0.003156175,0.0004497859,0.002030028,0.001083843,0.002827758,0.0002821207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202149,"about_ca_system_score_gemma":0.00191232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006566106,"about_ca_topic_score_gemma":0.007608339,"domain_scores_codex":[0.9783732,0.01817567,0.00126393,0.001216061,0.0007150032,0.0002562354],"domain_scores_gemma":[0.9706303,0.02623098,0.001762406,0.0005552548,0.0004750005,0.0003460583],"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":[0.01825404,0.0001272221,0.007042323,0.04256972,0.8988117,0.00009709928,0.00006478862,0.007933214,0.0002452196,0.0005930301,0.0008300358,0.02343155],"study_design_scores_gemma":[0.005743759,0.0009578137,0.003634499,0.003444772,0.9740067,0.0000691949,0.00003239131,0.008071822,0.0001305726,0.002488221,0.001383034,0.00003719154],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05001169,0.927421,0.01553498,0.001972612,0.0006798962,0.0009860308,0.001604452,0.000170752,0.001618604],"genre_scores_gemma":[0.8306852,0.1448849,0.01712019,0.002231516,0.0005567897,0.001839259,0.001681214,0.00008545482,0.0009154784],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02520213,"threshold_uncertainty_score":0.1332832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1975170430804172,"score_gpt":0.4500063237753528,"score_spread":0.2524892806949356,"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."}}