{"id":"W2017586049","doi":"10.1371/journal.pone.0080839","title":"Epistatic Genetic Effects among Alzheimer’s Candidate Genes","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Institute on Aging; University of California, San Diego; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, Los Angeles; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; Alzheimer's Association; Amorfix Life Sciences; F. Hoffmann-La Roche; Vanderbilt University; Medpace; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Synarc; Pharmaceutical Research and Manufacturers of America Foundation; Novartis Pharmaceuticals Corporation; Bayer HealthCare; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics","keywords":"Epistasis; Genetics; Candidate gene; Biology; Gene; Computational biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003339275,0.0009112066,0.001011881,0.001352617,0.000642447,0.001007829,0.0007787135,0.000536775,0.003445187],"category_scores_gemma":[0.006420633,0.0002742705,0.001946949,0.001742141,0.0006665984,0.0003388925,0.001060037,0.0008032649,0.0002195406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006044495,"about_ca_system_score_gemma":0.0007112995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006538224,"about_ca_topic_score_gemma":0.008472103,"domain_scores_codex":[0.9964631,0.001689312,0.0002031153,0.001083805,0.000361862,0.0001988025],"domain_scores_gemma":[0.9949649,0.003392407,0.0007188897,0.0004295864,0.0002470489,0.0002470874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001565539,0.0001487673,0.908345,0.0002658475,0.008016062,0.002050328,0.0004485465,0.01314638,0.02747443,0.004549226,0.001714336,0.0322756],"study_design_scores_gemma":[0.0001285127,0.0003342398,0.9560004,0.00003620492,0.002214104,0.001173898,0.0001726024,0.02738415,0.001176547,0.00932163,0.001994986,0.00006272963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850883,0.0009697791,0.01104021,0.0004015336,0.00003758811,0.00003934207,0.001435683,0.0001456946,0.0008419206],"genre_scores_gemma":[0.9942651,0.0002575977,0.004304318,0.0001187414,0.00002908915,0.00004639818,0.0007015102,0.00003710311,0.0002401609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006538224,"threshold_uncertainty_score":0.01765996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04172252719501537,"score_gpt":0.2756194226238236,"score_spread":0.2338968954288082,"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."}}