{"id":"W2074219569","doi":"10.1002/ijc.23344","title":"Non‐Hodgkin lymphoma and obesity: A pooled analysis from the InterLymph Consortium","year":2007,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute; National Institutes of Health; Fondation de France; Bundesamt für Strahlenschutz; Associazione Italiana per la Ricerca sul Cancro; Cancerfonden; Danmarks Grundforskningsfond; National Research Foundation; European Commission; Health Research Board; Compagnia di San Paolo","keywords":"Medicine; Odds ratio; Underweight; Internal medicine; Confidence interval; Overweight; Obesity; Lymphoma; Body mass index; Epidemiology; Non-Hodgkin's lymphoma; Anthropometry; Risk factor; Logistic regression; Gastroenterology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003055739,0.00009596599,0.0002717478,0.0002157687,0.00002803081,0.00005053125,0.0001860019,0.00004719425,0.0004836889],"category_scores_gemma":[0.00004516089,0.0000602527,0.0002224987,0.0001790095,0.00008038277,0.00009282518,0.00003765778,0.0001160669,0.000002784942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002824124,"about_ca_system_score_gemma":0.0001809763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002895651,"about_ca_topic_score_gemma":0.00300713,"domain_scores_codex":[0.9988478,0.00001302691,0.0004111822,0.0001090162,0.0005029259,0.0001160772],"domain_scores_gemma":[0.9988644,0.0001450272,0.0003279196,0.0001008923,0.000447658,0.0001141139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008872459,0.00006163624,0.8881055,0.00000186215,0.005394032,0.0001495455,0.000637109,0.00001717843,0.001378185,0.00003206701,0.0007930726,0.1025426],"study_design_scores_gemma":[0.002118479,0.0000724382,0.9783446,0.00009684706,0.001773033,0.00009714749,0.0002969109,0.0001511499,0.001288857,0.0001297463,0.01556432,0.0000664617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905451,0.002891968,0.002748199,0.002504558,0.0008938001,0.00005608493,0.00003639087,0.000005363436,0.0003185574],"genre_scores_gemma":[0.9958096,0.0007769739,0.0001188439,0.002031679,0.001083282,0.000001432704,0.000005140283,0.000008503863,0.0001645656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1024761,"threshold_uncertainty_score":0.5296054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133639997214595,"score_gpt":0.3246683549204187,"score_spread":0.3133319549482727,"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."}}