{"id":"W2071289608","doi":"10.1016/j.ijrobp.2013.07.029","title":"Predicting Esophagitis After Chemoradiation Therapy for Non-Small Cell Lung Cancer: An Individual Patient Data Meta-Analysis","year":2013,"lang":"en","type":"review","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":190,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Cancer Care Ontario","funders":"Canadian Institutes of Health Research; National Cancer Institute; Ontario Institute for Cancer Research; National Institutes of Health; Sanofi; Eli Lilly and Company","keywords":"Medicine; Internal medicine; Radiation therapy; Esophagitis; Concordance; Logistic regression; Chemoradiotherapy; Lung cancer; Oncology; Meta-analysis; Recursive partitioning; Disease; Reflux","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005848516,0.002536098,0.007972932,0.001301826,0.0003455358,0.001451239,0.001509018,0.001305433,0.002277978],"category_scores_gemma":[0.01100953,0.001089846,0.02968778,0.001903192,0.000337324,0.001065847,0.001061122,0.002012263,0.000255395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008453864,"about_ca_system_score_gemma":0.001059543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003939052,"about_ca_topic_score_gemma":0.0125353,"domain_scores_codex":[0.9971213,0.001513616,0.0004254655,0.0005886508,0.0002274042,0.0001236665],"domain_scores_gemma":[0.993943,0.004600642,0.0006850747,0.0003575273,0.0002953466,0.0001182628],"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":[0.005560167,0.00005782284,0.02198514,0.03473479,0.9118074,0.0001296367,0.00005817479,0.001267866,0.0004434478,0.00008801137,0.0008823172,0.02298525],"study_design_scores_gemma":[0.0007082407,0.0003600253,0.009609917,0.001260977,0.9857464,0.0001032051,0.00003423567,0.0004688156,0.000137459,0.0002346043,0.001307653,0.00002846643],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03734738,0.9591057,0.001553707,0.0003158498,0.000322217,0.00007531193,0.0008994197,0.00004681025,0.0003335951],"genre_scores_gemma":[0.6465698,0.3444194,0.003822126,0.001209156,0.000442885,0.0001896787,0.002413457,0.00007364521,0.0008597259],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007972932,"threshold_uncertainty_score":0.03093028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189684439666045,"score_gpt":0.4296140331752364,"score_spread":0.3106455892086318,"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."}}