{"id":"W2110754363","doi":"10.1007/s12156-007-0013-5","title":"Epidemiology, molecular epidemiology, and risk factors for renal cell carcinoma","year":2007,"lang":"en","type":"article","venue":"Oncology Reviews","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Medicine; Epidemiology; Incidence (geometry); Cancer; Renal cell carcinoma; Kidney cancer; Internal medicine; Risk factor; Genetic predisposition; Oncology; Carcinogen; Pathology; Bioinformatics; Physiology; Genetics; Biology; Disease","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":[0.005140696,0.0002988083,0.0009382836,0.00005901585,0.000151282,0.000001684228,0.0002109992,0.0007712153,0.00001253152],"category_scores_gemma":[0.00228182,0.000212434,0.0003653863,0.00008366141,0.0003911904,0.00000329598,0.0001005475,0.0003215416,0.00001359436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005350453,"about_ca_system_score_gemma":0.00008554894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008608439,"about_ca_topic_score_gemma":0.00007741864,"domain_scores_codex":[0.9968871,0.0008774707,0.0008821235,0.0006550873,0.0000326356,0.0006655625],"domain_scores_gemma":[0.997968,0.0007244441,0.0006073822,0.0003753773,0.00005794619,0.0002669139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006394939,0.0001950754,0.6932624,0.0003252152,0.0003273905,0.00002566395,0.0001546308,0.0001217017,0.1415952,0.001075869,0.05054531,0.1117321],"study_design_scores_gemma":[0.000943915,0.001597152,0.02561387,0.00002283352,0.0002234394,0.00005708839,0.000051137,0.00002190624,0.02496094,0.000817776,0.9453427,0.0003473147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8260045,0.1528065,0.01706228,0.0003718699,0.0003758261,0.0008117382,0.00003076061,0.00001243434,0.002524042],"genre_scores_gemma":[0.8338482,0.1344092,0.02359643,0.004709064,0.0007475815,0.0001515403,0.0004272479,0.00007365699,0.002037028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8947973,"threshold_uncertainty_score":0.8662807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04534167579295008,"score_gpt":0.3518839774647776,"score_spread":0.3065423016718275,"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."}}