{"id":"W2524270939","doi":"10.25560/11124","title":"Statistical Methods in Neuroimaging Genetics: Pathways Sparse Regression and Cluster Size Inference","year":2013,"lang":"en","type":"dissertation","venue":"Spiral (Imperial College London)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; University of California, San Diego; University of California, Los Angeles; National Institutes of Health; Bayer HealthCare; Alzheimer's Drug Discovery Foundation; Northern California Institute for Research and Education; Wellcome Trust; Amorfix Life Sciences; AstraZeneca","keywords":"Imaging genetics; Neuroimaging; Inference; Statistical genetics; Statistical inference; Computational biology; Artificial intelligence; Regression; Computer science; Psychology; Evolutionary biology; Machine learning; Statistics; Data science; Biology; Mathematics; Genomics; Genetics; Neuroscience; Genome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002936533,0.0004486799,0.0004494152,0.000132703,0.0001170451,0.0001030076,0.0002736452,0.0005583605,0.000190334],"category_scores_gemma":[0.000541158,0.0004066331,0.00008513861,0.0001647038,0.00008983403,0.00001295815,0.000152681,0.0003604086,0.00001394417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003805145,"about_ca_system_score_gemma":0.0003019756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000389223,"about_ca_topic_score_gemma":0.0001302561,"domain_scores_codex":[0.9974176,0.00043931,0.0005803464,0.0009145535,0.0002446458,0.0004035617],"domain_scores_gemma":[0.9988,0.00009591888,0.0002704336,0.0005023589,0.0001455389,0.0001857411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006311217,0.00005179563,0.0005626318,0.0001171038,0.00001535156,0.000009465714,0.0001741315,0.000005229161,0.9663721,0.0004131275,0.002620145,0.02902777],"study_design_scores_gemma":[0.008544403,0.001667099,0.0804676,0.0008071869,0.0001848777,0.0000397785,0.001713439,0.002246721,0.8140643,0.006478564,0.0808972,0.002888779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909501,0.00253048,0.000766693,0.00007874204,0.001727156,0.0008664416,0.0001352587,0.00002440697,0.002920702],"genre_scores_gemma":[0.9748586,0.001400155,0.01689416,0.0004193138,0.0006553582,0.0003068829,0.001154478,0.0001022511,0.004208846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1523078,"threshold_uncertainty_score":0.9998385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243928062000084,"score_gpt":0.3356487450584979,"score_spread":0.3132094644384971,"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."}}