{"id":"W7015993493","doi":"","title":"Using whole genome sequencing to identify risk alleles for susceptibility to schizophrenia","year":2017,"lang":"en","type":"dissertation","venue":"Rutgers University Community Repository (Rutgers University)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedigree chart; Heritability; Concordance; Identity by descent; Schizophrenia (object-oriented programming); Linkage (software); Genetic association; Allele; Genetic linkage; Linkage disequilibrium","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008949129,0.0005644342,0.0007321302,0.0007108234,0.004258315,0.0001172028,0.002001564,0.0009613421,0.00001124307],"category_scores_gemma":[0.0005241713,0.0007993584,0.0005973435,0.0003676018,0.0001786912,0.00004080858,0.000506164,0.0008225464,0.00001619156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125079,"about_ca_system_score_gemma":0.0009575378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004483198,"about_ca_topic_score_gemma":0.0002091913,"domain_scores_codex":[0.9965101,0.001286295,0.0003745776,0.0009179784,0.0002179224,0.0006931539],"domain_scores_gemma":[0.9958702,0.0001606473,0.0007998029,0.001929174,0.0007235715,0.0005166006],"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":[0.001051031,0.00009184449,0.00147788,0.00009919641,0.000517116,0.00002046446,0.001209069,0.002227481,0.9916242,0.000005179002,0.001234974,0.0004415098],"study_design_scores_gemma":[0.008066569,0.003465402,0.01504528,0.000740763,0.004409663,0.00003997167,0.01213912,0.0006291395,0.8754588,0.0004537282,0.07282999,0.006721542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.835828,0.00009315565,0.007964935,0.00009548228,0.001004377,0.001409146,0.0008163267,0.00008642744,0.1527022],"genre_scores_gemma":[0.9622097,0.000108248,0.009334618,0.00006454031,0.0002435881,0.000001644034,0.00254207,0.00007517744,0.02542038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1272818,"threshold_uncertainty_score":0.9994457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455274841791903,"score_gpt":0.2928797774017264,"score_spread":0.2583270289838074,"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."}}