{"id":"W2041556087","doi":"10.1086/420775","title":"Genomewide Linkage Analysis of Bipolar Disorder by Use of a High-Density Single-Nucleotide–Polymorphism (SNP) Genotyping Assay: A Comparison with Microsatellite Marker Assays and Finding of Significant Linkage to Chromosome 6q22","year":2004,"lang":"en","type":"article","venue":"The American Journal of Human Genetics","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":173,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Institutes of Health; National Institute of Mental Health; National Alliance for Research on Schizophrenia and Depression","keywords":"Genotyping; Genetics; Microsatellite; Single-nucleotide polymorphism; Biology; SNP genotyping; Genetic linkage; Linkage (software); SNP; SNP array; Genotype; Computational biology; Allele; Gene","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":[0.0004069579,0.0002688789,0.0008090946,0.0002928476,0.0001068942,0.00003297649,0.0003681526,0.00006305447,0.000005221779],"category_scores_gemma":[0.00003501016,0.0002146657,0.0001898355,0.0005970973,0.0005986764,0.000007883235,0.0001983505,0.0001801129,2.807473e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002907218,"about_ca_system_score_gemma":0.00008472963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002599158,"about_ca_topic_score_gemma":0.0001208682,"domain_scores_codex":[0.9980065,0.0001865392,0.0008756422,0.0002983879,0.0003415039,0.0002914736],"domain_scores_gemma":[0.9977253,0.00006153937,0.001374675,0.0004216383,0.0002721086,0.0001447237],"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":[0.0002207598,0.0002381826,0.04390452,0.00003122493,0.001000372,0.000004546374,0.0007355842,0.007184954,0.9431019,0.000004146645,0.00001461656,0.003559123],"study_design_scores_gemma":[0.0008234658,0.003435032,0.3765364,0.00009577089,0.0009530062,0.0000182638,0.0005012939,0.00007947548,0.6166685,0.00003543059,0.0005098257,0.0003435644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906931,0.002974945,0.00594328,0.00008337676,0.0000301814,0.0001821442,0.00008681945,0.000002434935,0.000003727971],"genre_scores_gemma":[0.9909934,0.001298523,0.007461305,0.0001355223,0.0000185242,0.000001432511,0.00003421877,0.00004242639,0.00001466604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3326318,"threshold_uncertainty_score":0.8753815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695080839274387,"score_gpt":0.242050081322921,"score_spread":0.2250992729301771,"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."}}