{"id":"W4403045778","doi":"10.1017/dep.2024.6.pr1","title":"Author comment: Neural signatures of emotional biases predict clinical outcomes in difficult-to-treat depression — R0/PR1","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; National Institutes of Health; H. Lundbeck A/S; Servier; Rosetrees Trust; National Institute for Health Research Applied Research Collaboration South London; Department of Health and Social Care; National Institute for Health and Care Research; Instituto D'Or de Pesquisa e Ensino; National Institute of Mental Health; LivaNova; Sunovion; King's College Hospital NHS Foundation Trust; Wellcome Trust; Michael Smith Health Research BC; Menzies Centre for Australian Studies, King's College London, University of London; Eli Lilly and Company; National Alliance for Research on Schizophrenia and Depression; Research for Patient Benefit Programme; King's College London","keywords":"Depression (economics); Psychology; Clinical psychology; Cognitive psychology; Economics; Keynesian 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":[0.01203012,0.000926632,0.001198034,0.0007552192,0.001373177,0.001772813,0.004783619,0.0165866,0.009655104],"category_scores_gemma":[0.075069,0.0004808091,0.001363218,0.0008692858,0.003426426,0.002357764,0.001200901,0.01632574,0.01120926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576105,"about_ca_system_score_gemma":0.002360129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005884242,"about_ca_topic_score_gemma":0.003900217,"domain_scores_codex":[0.9948671,0.001312606,0.0009678017,0.001421696,0.001185267,0.0002455757],"domain_scores_gemma":[0.9502396,0.02912057,0.002023588,0.00296315,0.01435663,0.001296412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002715462,0.00003127721,0.002497548,0.0002642542,0.00008993883,0.0003045756,0.000281037,0.0001379836,0.0002888698,0.001323617,0.9844841,0.01002516],"study_design_scores_gemma":[0.0009947733,0.000504023,0.03144503,0.001870854,0.0004453427,0.003215665,0.002395202,0.004116958,0.004330852,0.03468253,0.9154121,0.0005867219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001830998,0.001384091,0.0007010388,0.9075029,0.08613321,0.00003140531,0.000697255,0.0002394559,0.001479718],"genre_scores_gemma":[0.02487122,0.001913286,0.001340212,0.891302,0.07348967,0.0001192471,0.0002541821,0.0001078736,0.006602299],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0165866,"threshold_uncertainty_score":0.06362212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2481439157372159,"score_gpt":0.5525235337313363,"score_spread":0.3043796179941205,"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."}}