{"id":"W2904329962","doi":"10.1016/j.psychres.2018.12.084","title":"Epidermal growth factor and fibroblast growth factor-2 circulating levels in elderly with major depressive disorder","year":2018,"lang":"en","type":"article","venue":"Psychiatry Research","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institutes of Health; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Fibroblast growth factor; Epidermal growth factor; Major depressive disorder; Internal medicine; Endocrinology; Psychology; Fibroblast growth factor 23; Depression (economics); Dementia; Medicine; Cognition; Psychiatry; Receptor","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":[0.0002730526,0.0003285621,0.0003155451,0.0004506399,0.0007330669,0.0002425374,0.0005013252,0.0001225183,0.0002194377],"category_scores_gemma":[0.000913578,0.0002697321,0.00005586676,0.001032669,0.0004994388,0.0004118914,0.0003109456,0.0007311434,0.00008577156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003152508,"about_ca_system_score_gemma":0.0001754032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000167447,"about_ca_topic_score_gemma":0.0003751655,"domain_scores_codex":[0.9955451,0.0007689386,0.0003822086,0.001181571,0.00102065,0.001101523],"domain_scores_gemma":[0.9981586,0.000816734,0.0001125878,0.0003927121,0.0002147893,0.0003046037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002065088,0.0002637648,0.3182833,0.0001899872,0.00001206803,0.0001115795,0.0004473128,0.000003133659,0.6756688,0.003967463,0.00008828395,0.0007577058],"study_design_scores_gemma":[0.002242186,0.002050308,0.5676665,0.0002275303,0.000008952393,0.0002196288,0.0001577811,0.0007029668,0.4239757,0.002144172,0.00004352073,0.0005606989],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969855,0.00005008967,0.0006240201,0.0008786996,0.0002596006,0.0005887368,0.00007596259,0.00007426499,0.0004631185],"genre_scores_gemma":[0.998872,0.00002132104,0.0003762661,0.0002486066,0.0002512612,0.0000487619,9.528936e-7,0.00008175663,0.00009907326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2516931,"threshold_uncertainty_score":0.9999755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0796211311342401,"score_gpt":0.3368693094867047,"score_spread":0.2572481783524646,"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."}}