{"id":"W3013660197","doi":"10.1038/s41588-020-0594-5","title":"Minimal phenotyping yields genome-wide association signals of low specificity for major depression","year":2020,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":375,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Cilag; National Institute of Mental Health; Neuraxpharm; Chinese Society of Clinical Oncology; University of Oxford; European Bioinformatics Institute; King's College London; National Institute for Health and Care Research; Fresenius Medical Care North America; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Wellcome Trust; NIHR Maudsley Biomedical Research Centre; GlaxoSmithKline; John Templeton Foundation; Lundbeckfonden; National Science Foundation","keywords":"Biology; Genome-wide association study; Genetics; Computational biology; Genome; Genetic association; Association (psychology); Evolutionary biology; Gene; Single-nucleotide polymorphism; Genotype","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":[0.0003433999,0.000163916,0.0002801884,0.00002850185,0.00008169845,0.00001117731,0.0002288862,0.0008359971,0.00002356189],"category_scores_gemma":[0.001850776,0.0001647432,0.0001676913,0.0001070063,0.00002520982,0.000002096094,0.0001044491,0.0002236877,0.000004462393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003222368,"about_ca_system_score_gemma":0.00006852802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002018973,"about_ca_topic_score_gemma":0.000008634397,"domain_scores_codex":[0.9986659,0.00008451664,0.0003923713,0.0003899554,0.0001622447,0.0003049967],"domain_scores_gemma":[0.9988488,0.0001708651,0.000365879,0.0002147363,0.0002975936,0.0001021065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002321243,0.00008529516,0.5552232,0.0001132374,0.0002243505,5.846593e-7,0.0001578977,0.002499611,0.4070684,0.000008868939,0.03236147,0.002024919],"study_design_scores_gemma":[0.001632869,0.0006409879,0.5847729,0.00002484259,0.0001515381,0.000001190174,0.000137733,0.002515672,0.3090414,0.0004494531,0.1001007,0.0005307563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698454,0.003489862,0.02386648,0.001671755,0.0002221252,0.0003749746,0.0001439561,0.00001207666,0.000373394],"genre_scores_gemma":[0.9845819,0.0003289752,0.01099689,0.002826859,0.0007694567,0.00001964004,0.0002870184,0.00002662436,0.0001626164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09802707,"threshold_uncertainty_score":0.6718032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340830698091785,"score_gpt":0.2620955318321819,"score_spread":0.248687224851264,"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."}}