{"id":"W2043049090","doi":"10.1007/s11920-011-0210-6","title":"Inflammatory Biomarkers in Depression: An Opportunity for Novel Therapeutic Interventions","year":2011,"lang":"en","type":"review","venue":"Current Psychiatry Reports","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Depression (economics); Medicine; Context (archaeology); Psychiatry; Conceptualization; Psychological intervention; Disease; Clinical psychology; Intensive care medicine; Psychology; Psychotherapist; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006319255,0.0006032139,0.001058037,0.0005496261,0.0001729092,0.00006950628,0.0005738775,0.0003321279,0.000180084],"category_scores_gemma":[0.0002978088,0.0005126637,0.001265797,0.0004856006,0.000159943,0.000308895,0.0001343418,0.0005606284,0.00001302469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007087104,"about_ca_system_score_gemma":0.00108436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003899242,"about_ca_topic_score_gemma":0.00004857907,"domain_scores_codex":[0.9959691,0.0002736185,0.00172713,0.001268239,0.0002429103,0.0005190711],"domain_scores_gemma":[0.9968553,0.0001150353,0.001460407,0.001193167,0.00003874828,0.0003373705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001561833,0.001439722,0.0004126691,0.01726645,0.00005045682,0.00002028091,0.0000459796,2.682334e-7,0.000006285907,0.001029591,0.0010467,0.978666],"study_design_scores_gemma":[0.0003473383,0.00006658797,0.000212777,0.0149534,0.0001754264,0.0003219396,0.00002924607,0.000009008777,0.000004551925,0.002036677,0.9812092,0.0006338672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008413271,0.98559,0.0007221464,0.0000128852,0.01023899,0.00232022,0.00007779492,0.0001587423,0.0007950797],"genre_scores_gemma":[0.000242981,0.9979359,0.0001893452,0.00007408286,0.0002744794,0.0008899812,0.000169968,0.0001128768,0.0001103882],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9801625,"threshold_uncertainty_score":0.9997325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2696909647684732,"score_gpt":0.4222059471468299,"score_spread":0.1525149823783566,"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."}}