{"id":"W2794001341","doi":"10.1002/ijc.31312","title":"Neoadjuvant treatments for locally advanced, resectable esophageal cancer: A network meta‐analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Canadian Centre for Applied Research in Cancer Control; Public Health Ontario; Sunnybrook Health Science Centre","funders":"Canadian Cancer Society Research Institute; Canadian Centre for Applied Research in Cancer Control","keywords":"Medicine; Neoadjuvant therapy; Esophageal cancer; Radiation therapy; Chemoradiotherapy; Oncology; Meta-analysis; Internal medicine; Randomized controlled trial; Chemotherapy; Relative risk; Surgery; Cancer; Confidence interval; Breast cancer","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002934899,0.0002084673,0.0008185325,0.0003208132,0.0000962766,0.00005382788,0.0003110065,0.00006171884,0.002298354],"category_scores_gemma":[0.00004926375,0.0001437999,0.001071518,0.0004006812,0.0001041767,0.0002230115,0.00004772782,0.0001774764,0.00001004665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007709584,"about_ca_system_score_gemma":0.0008254835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006660545,"about_ca_topic_score_gemma":0.001255368,"domain_scores_codex":[0.9977338,0.00004340915,0.0005376646,0.000257317,0.001021531,0.000406246],"domain_scores_gemma":[0.9967471,0.0001204949,0.0004198382,0.0001829945,0.002223405,0.0003061367],"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":[0.01718347,0.0006287748,0.04855257,0.00004110003,0.8340123,0.0009833748,0.0002468807,0.00915282,0.0002896299,0.0004527495,0.01060955,0.07784683],"study_design_scores_gemma":[0.05511808,0.01749315,0.0861446,0.0007682111,0.6808742,0.0005506569,0.0001650483,0.005761284,0.03451139,0.006303251,0.1113082,0.001001961],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1291952,0.8021166,0.02323863,0.03115327,0.006495764,0.00295778,0.001379724,0.00009589694,0.003367146],"genre_scores_gemma":[0.9800615,0.006009667,0.00452159,0.00122052,0.003809219,0.000340087,0.00002676023,0.00003568472,0.00397498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8508663,"threshold_uncertainty_score":0.9986137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05575623368652052,"score_gpt":0.4285418434345853,"score_spread":0.3727856097480648,"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."}}