{"id":"W6945184409","doi":"10.25384/sage.24498769","title":"sj-pdf-1-cpa-10.1177_07067437231210787 - Supplemental material for Prediction of Early Antidepressant Efficacy in Patients with Major Depressive Disorder Based on Multidimensional Features of rs-fMRI and <i>P11</i> Gene DNA Methylation","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Treatment of Major Depression","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Major depressive disorder; DNA methylation; Antidepressant; Gene; Depression (economics); Methylation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00220181,0.001352684,0.001259028,0.002360111,0.0009485919,0.001923079,0.003051908,0.003058778,0.7854063],"category_scores_gemma":[0.01322814,0.001375189,0.00125626,0.00190735,0.0003477812,0.001497125,0.001687668,0.001515253,0.4090064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089854,"about_ca_system_score_gemma":0.002624042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006774212,"about_ca_topic_score_gemma":0.0144528,"domain_scores_codex":[0.9991065,0.0001469262,0.0001318473,0.0001532028,0.0003167495,0.0001448966],"domain_scores_gemma":[0.9902185,0.005209022,0.0006102434,0.0008940708,0.001907064,0.001161],"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":[0.0005976664,0.0002570067,0.002184036,0.0005529441,0.00006139316,0.0001054977,0.00002495987,0.0002490054,0.001762097,0.0005148589,0.9716344,0.02205611],"study_design_scores_gemma":[0.007140404,0.001426771,0.0562704,0.00131529,0.0002351756,0.00125584,0.0001991449,0.005549255,0.01228853,0.01095583,0.9030912,0.0002721816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002122077,0.00021302,0.004442219,0.001241472,0.0006025878,0.0006425317,0.9607556,0.01057033,0.01941015],"genre_scores_gemma":[0.01477196,0.0005293398,0.02161139,0.001968111,0.0007923451,0.002272216,0.895284,0.006867283,0.05590332],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7854063,"threshold_uncertainty_score":0.3060918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094961652119877,"score_gpt":0.2906241595909456,"score_spread":0.2696745430697468,"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."}}