{"id":"W2298141847","doi":"10.1002/cam4.695","title":"Blood lipids and prostate cancer: a Mendelian randomization analysis","year":2016,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Cancer Institute; Seventh Framework Programme; University of Bristol; Wellcome; Canadian Institutes of Health Research; National Institute for Health and Care Research; National Institutes of Health; Cancer Research UK; University Hospitals Bristol NHS Foundation Trust; European Commission; Royal Marsden NHS Foundation Trust; Wellcome Trust; Institute of Cancer Research; Medical Research Council","keywords":"Mendelian randomization; Prostate cancer; Odds ratio; Medicine; Single-nucleotide polymorphism; Internal medicine; Prostate; Oncology; Cancer; SNP; Logistic regression; Allele; Endocrinology; Genotype; Biology; Genetics; Genetic variants; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001846866,0.0001575757,0.0003322992,0.0001081994,0.00005759362,0.000007029377,0.00008756822,0.00009566858,0.0002195555],"category_scores_gemma":[0.00005837674,0.00009683621,0.00006705517,0.0002743348,0.0001779603,0.000005553862,0.00003445657,0.00004844792,9.300238e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000188937,"about_ca_system_score_gemma":0.000106387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004865588,"about_ca_topic_score_gemma":0.0005827066,"domain_scores_codex":[0.9989703,0.00004654091,0.0002255219,0.0003798119,0.0001451784,0.0002326158],"domain_scores_gemma":[0.9993778,0.00001517086,0.0001041544,0.0002516863,0.0001256068,0.0001256215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007386563,0.00002541136,0.02806932,0.00005416153,0.001782151,4.011983e-7,0.000411957,0.00004604911,0.7859166,0.0000567012,0.1075594,0.07533917],"study_design_scores_gemma":[0.01274006,0.0001783657,0.004823571,0.00009770309,0.002296355,0.000004695027,0.00006473985,0.00003424755,0.02690493,0.0000464606,0.9525608,0.0002480753],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7717373,0.1186927,0.006288547,0.08914972,0.0115368,0.001078391,0.0002922639,0.0000808862,0.001143367],"genre_scores_gemma":[0.8301921,0.1133325,0.0000946752,0.00899395,0.0395748,0.0004068242,0.00009701599,0.0000439207,0.007264182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8450013,"threshold_uncertainty_score":0.3948866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00658221835692019,"score_gpt":0.2631162300403799,"score_spread":0.2565340116834597,"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."}}