{"id":"W4321367679","doi":"10.21203/rs.3.rs-2556941/v1","title":"Investigating genetic overlap between antidepressant and lithium response and treatment resistance in major depressive disorder","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Center for Innovative Medicine; Uppsala Multidisciplinary Center for Advanced Computational Science; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; National Institute of Mental Health; Vetenskapsrådet; European Commission; King's College London; National Institute for Health and Care Research; Stiftelsen för Strategisk Forskning; University of Manitoba; NIHR Maudsley Biomedical Research Centre; Hjärnfonden; South London and Maudsley NHS Foundation Trust","keywords":"Antidepressant; Lithium (medication); Major depressive disorder; Psychology; Psychiatry; Resistance (ecology); Depression (economics); Clinical psychology; Medicine; Cognition; Biology; Economics","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":[0.00088259,0.0003488849,0.0002885316,0.0005497987,0.000315243,0.0007522721,0.0002986205,0.0005288213,0.00491497],"category_scores_gemma":[0.006112,0.0002208594,0.000407872,0.0007397383,0.0002654878,0.0002884887,0.0004423243,0.0003988061,0.0004026332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002574295,"about_ca_system_score_gemma":0.0002747466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004722126,"about_ca_topic_score_gemma":0.004528329,"domain_scores_codex":[0.9992664,0.0004208701,0.00003838,0.0001396729,0.00008190443,0.00005275303],"domain_scores_gemma":[0.9979076,0.001323379,0.0003851826,0.0001438944,0.0001085086,0.0001313803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00204449,0.0002069498,0.972049,0.00005534311,0.0006741651,0.0007210806,0.0006616954,0.0002949816,0.006278141,0.000707749,0.0009821081,0.01532438],"study_design_scores_gemma":[0.00008172474,0.0001463439,0.9960344,0.00002439747,0.000313384,0.0005277545,0.0003607808,0.0007295163,0.0005133405,0.0007808157,0.0004807991,0.0000068298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975919,0.0001696035,0.0003255113,0.0002719538,0.00001605473,0.000004812584,0.0003080615,0.000009168844,0.001302939],"genre_scores_gemma":[0.997786,0.00008608402,0.0005652211,0.00009219944,0.0000229508,0.000009782531,0.0002503577,0.00001759826,0.001169696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00491497,"threshold_uncertainty_score":0.01644224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07309978830593908,"score_gpt":0.3852492671307247,"score_spread":0.3121494788247856,"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."}}