{"id":"W2110105767","doi":"10.1093/jnci/dji009","title":"Designing the Selenium and Vitamin E Cancer Prevention Trial (SELECT)","year":2005,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":356,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Selenium; Cancer; Cancer prevention; Medicine; Oncology; Gerontology; Computer science; Internal medicine; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01732146,0.0006435037,0.001488039,0.0004055639,0.0007079074,0.001134958,0.0004007977,0.002862575,0.005247845],"category_scores_gemma":[0.02160874,0.000445622,0.001286394,0.0004767265,0.0007441161,0.0008376724,0.0005082338,0.001855926,0.0006477427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685046,"about_ca_system_score_gemma":0.0021264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004021673,"about_ca_topic_score_gemma":0.0014992,"domain_scores_codex":[0.9877934,0.01054616,0.0005759316,0.0003485136,0.0005246983,0.0002112685],"domain_scores_gemma":[0.9956825,0.002730465,0.0006314638,0.000229779,0.0003420509,0.0003837067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.5740803,0.003536558,0.02050621,0.01339191,0.006963009,0.0005974123,0.0009881257,0.002666637,0.004287597,0.02547492,0.07095159,0.2765558],"study_design_scores_gemma":[0.8060452,0.07632002,0.009748749,0.002266713,0.006099447,0.0003759509,0.000253427,0.002625623,0.002302196,0.01368021,0.08018496,0.00009749807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5001553,0.05215798,0.05003702,0.1429113,0.02217997,0.1832651,0.009146176,0.0007865204,0.03936056],"genre_scores_gemma":[0.5989064,0.02345861,0.07065983,0.07346055,0.009268826,0.2016654,0.002243356,0.00009805342,0.02023891],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01732146,"threshold_uncertainty_score":0.09160566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06428227749344141,"score_gpt":0.369273248946852,"score_spread":0.3049909714534106,"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."}}