{"id":"W2803835540","doi":"10.1101/327239","title":"Assessing 42 inflammatory markers in 321 control subjects and 887 major depressive disorder cases: BMI and other confounders and overall predictive ability for current depression","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Dalhousie University","funders":"Medical Research Council","keywords":"Major depressive disorder; Confounding; Depression (economics); Body mass index; Biomarker; Internal medicine; Medicine; Antidepressant; Oncology; Clinical psychology; Biology","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":[0.002051865,0.0003975518,0.0005654007,0.000721687,0.0004420183,0.0004704005,0.00030444,0.0004578849,0.001030106],"category_scores_gemma":[0.003893269,0.0004496025,0.0004088168,0.0005700866,0.0004012014,0.0002011646,0.0003785771,0.0003856007,0.0003040067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954783,"about_ca_system_score_gemma":0.0001429576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119452,"about_ca_topic_score_gemma":0.001399402,"domain_scores_codex":[0.9990776,0.0003249785,0.0001294995,0.0002334108,0.0001787552,0.00005577262],"domain_scores_gemma":[0.9984226,0.0005764959,0.0003832348,0.000303633,0.0002100793,0.0001039796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004797333,0.00005707339,0.9966211,0.00001059139,0.00007844396,0.00006484381,0.00008779085,0.00007091459,0.001343377,0.00001739644,0.00005973852,0.001108994],"study_design_scores_gemma":[0.00003499419,0.0002272996,0.9980029,0.000004212103,0.00007922547,0.0002338766,0.00007957439,0.0007301283,0.0003685448,0.00003328645,0.0002021194,0.000003753124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992898,0.0001408028,0.0002512791,0.000009256935,0.000005430953,0.00001925629,0.0001619627,0.00000300039,0.0001190868],"genre_scores_gemma":[0.999226,0.00005462507,0.0002083686,0.00001144981,0.000007076903,0.0000246733,0.00034622,0.000001645669,0.0001199914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002119452,"threshold_uncertainty_score":0.01085138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913671600311635,"score_gpt":0.2634198303969588,"score_spread":0.2442831143938424,"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."}}