{"id":"W4223438198","doi":"10.1001/jamanetworkopen.2022.4361","title":"Evaluation of Information Theoretic Network Meta-analysis to Rank First-Line Anticancer Regimens for Hormone Receptor–Positive, <i>ERBB2</i>-Negative Metastatic Breast Cancer","year":2022,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute on Minority Health and Health Disparities; National Cancer Institute","keywords":"Oncology; Internal medicine; Medicine; Randomized controlled trial; Regimen; Breast cancer; Metastatic breast cancer; Docetaxel; Meta-analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05830182,0.002926667,0.01241544,0.007167642,0.0005108421,0.003357162,0.002864899,0.002016956,0.009340853],"category_scores_gemma":[0.1725035,0.0009431065,0.02841652,0.004610681,0.0006526579,0.00246931,0.001962975,0.002684415,0.0006093337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00373352,"about_ca_system_score_gemma":0.003819442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004095218,"about_ca_topic_score_gemma":0.006581209,"domain_scores_codex":[0.9452601,0.04531261,0.004567456,0.002304644,0.002169965,0.0003852189],"domain_scores_gemma":[0.8674741,0.1190453,0.006994588,0.003087542,0.002918407,0.0004801019],"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":[0.01112406,0.0001091677,0.005065013,0.2462362,0.6825156,0.0001460018,0.0001680901,0.01345464,0.0002884876,0.002334096,0.00455882,0.03399991],"study_design_scores_gemma":[0.006506738,0.00111086,0.003509894,0.02427052,0.9385837,0.00009511945,0.00007293548,0.01297033,0.0003618391,0.006358595,0.006062888,0.0000964889],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05396907,0.786998,0.08783512,0.006422741,0.003076378,0.02344976,0.02741124,0.001295216,0.009542448],"genre_scores_gemma":[0.7694923,0.1028419,0.07402573,0.003459444,0.0009611899,0.03565008,0.01103455,0.00026229,0.002272657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05830182,"threshold_uncertainty_score":0.3083332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06664060781675794,"score_gpt":0.359539479326846,"score_spread":0.292898871510088,"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."}}