{"id":"W2059742736","doi":"10.1038/ng.2007.16","title":"A survey of genetic human cortical gene expression","year":2007,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":488,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kronos (Canada)","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Biology; Genotyping; Transcriptome; Genetics; SNP genotyping; Gene expression; Computational biology; Gene; SNP array; DNA microarray; Gene expression profiling; Human genome; Genome; Genomics; Human brain; Human genetics; Genome-wide association study; Genotype; Single-nucleotide polymorphism; Neuroscience","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":[0.0004624302,0.0001604299,0.0001554062,0.00007792495,0.00008311209,0.00001055431,0.0002855244,0.0005569694,0.00003223124],"category_scores_gemma":[0.0001344336,0.0001490679,0.00007013877,0.0002024714,0.0000928252,0.00000137878,0.0001132041,0.0002680804,0.000004107126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001305473,"about_ca_system_score_gemma":0.00007208288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008970082,"about_ca_topic_score_gemma":0.00007420729,"domain_scores_codex":[0.9985839,0.00009799451,0.0003816245,0.0003873314,0.0002855362,0.0002636634],"domain_scores_gemma":[0.9988106,0.0000200478,0.000158355,0.0005870639,0.0002877914,0.0001361162],"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":[0.00007434653,0.0000696558,0.09062226,0.00001010502,0.00001254047,0.000001226321,0.00001720427,0.00002696696,0.9045364,0.000008281639,0.002865176,0.001755786],"study_design_scores_gemma":[0.0002307335,0.0001049431,0.4576571,0.000006311101,0.000007005533,0.000003218991,0.00001053004,0.000009267697,0.5364407,0.00001481911,0.005416795,0.00009867913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830961,0.004674635,0.01106344,0.00001461162,0.0002920965,0.0001551704,0.00001839186,0.00001120765,0.0006744016],"genre_scores_gemma":[0.9929368,0.000220952,0.005891852,0.0001686681,0.0002381329,0.000005781218,0.0001941027,0.00002892618,0.0003147451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3680958,"threshold_uncertainty_score":0.6078811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685616516070646,"score_gpt":0.3108329340023596,"score_spread":0.2939767688416531,"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."}}