{"id":"W4251065716","doi":"10.21203/rs.3.rs-20756/v2","title":"Biomarker Discovery in Attention Deficit Hyperactivity Disorder: RNA sequencing of Whole Blood in Discordant Twin and Case-Controlled Cohorts","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"College Ahuntsic","funders":"College of Engineering, Michigan State University; Michigan State University; Oregon Health and Science University","keywords":"Biomarker; Attention deficit hyperactivity disorder; Biomarker discovery; Twin study; Attention deficit; Whole blood; Dried blood; Medicine; Computational biology; Biology; Genetics; Psychiatry; Internal medicine; Gene; Proteomics; Chemistry; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003556603,0.0005775771,0.0008184096,0.001041434,0.0008385014,0.001802791,0.0006003384,0.001193627,0.001975174],"category_scores_gemma":[0.01366327,0.0005524705,0.001024125,0.001008155,0.0005234079,0.0003969506,0.0008071497,0.0007221547,0.0003749234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311499,"about_ca_system_score_gemma":0.0006610344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003406581,"about_ca_topic_score_gemma":0.004541352,"domain_scores_codex":[0.9976588,0.0008233268,0.0001644249,0.0008812497,0.0003273197,0.0001447473],"domain_scores_gemma":[0.9970619,0.001472944,0.0004590387,0.0005920934,0.0002607333,0.0001532387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008151984,0.0002627301,0.7810096,0.0007216735,0.00683447,0.002899237,0.002836884,0.002460266,0.1192142,0.003594287,0.009018412,0.06299641],"study_design_scores_gemma":[0.0008630455,0.0008832644,0.9247652,0.0004367025,0.006448326,0.006121462,0.0009847251,0.007399566,0.0275836,0.009612813,0.01475216,0.0001490253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711158,0.003579818,0.01678038,0.0008148047,0.0004155631,0.0000799844,0.005016287,0.0001814625,0.002015885],"genre_scores_gemma":[0.9804652,0.001266315,0.01218332,0.0004917721,0.0001695064,0.0001481767,0.003290744,0.0002247164,0.001760317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003556603,"threshold_uncertainty_score":0.01880938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08006728563671475,"score_gpt":0.3855566005378478,"score_spread":0.3054893149011331,"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."}}