{"id":"W161416703","doi":"10.1139/jpn.0945","title":"Magnetic resonance imaging and prediction of outcome in patients with major depressive disorder","year":2009,"lang":"en","type":"article","venue":"Journal of Psychiatry and Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Magnetic resonance imaging; Anterior cingulate cortex; Functional magnetic resonance imaging; Neuroimaging; Major depressive disorder; Hippocampus; Positron emission tomography; Medicine; Psychology; Psychiatry; Neuroscience; Clinical psychology; Radiology; Cognition","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":{"n_in":0,"stratum":"aff_core","weight":5595.2375,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Review of MRI findings predicting treatment outcome in depression; clinical neuroscience."},"gpt":{"tier":"OUT","genre":"conceptual","about_ca":false,"confidence":"high","reason":"It reviews clinical applications of neuroimaging for depression rather than studying evidence synthesis or research practice."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Clinical review of MRI predictors of treatment outcome in major depression; medical imaging, not metaresearch."}},"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005687997,0.0001963338,0.0003406042,0.0005671468,0.0003151011,0.0004302764,0.000243689,0.0006198508,0.0006780544],"category_scores_gemma":[0.003251228,0.0001340859,0.0001730453,0.0003790953,0.0002472317,0.0003174949,0.0002798444,0.0007233966,0.0002788494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127142,"about_ca_system_score_gemma":0.0001870611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002237145,"about_ca_topic_score_gemma":0.004864877,"domain_scores_codex":[0.9997818,0.00008125833,0.00003503771,0.00002241079,0.00004920428,0.00003027733],"domain_scores_gemma":[0.999132,0.0002036643,0.0003448843,0.00002572672,0.00009789494,0.0001958662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002626578,0.00009612393,0.9946548,0.00001727959,0.00003589122,0.0002242002,0.00005426772,0.00004318331,0.000190809,0.00002739866,0.000223465,0.004169844],"study_design_scores_gemma":[0.00001711524,0.0001635612,0.998713,0.00001450199,0.00002129952,0.0003868543,0.0001222453,0.0002490714,0.00004519484,0.0001261827,0.000137063,0.000003951572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960353,0.00157959,0.00007031239,0.0005837365,0.00003213915,0.00001305477,0.0001215204,0.00000640283,0.001557978],"genre_scores_gemma":[0.9989077,0.0005943713,0.00008681705,0.00007925873,0.00003217191,0.00000647309,0.0001272519,9.866909e-7,0.0001648894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002237145,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156797352973095,"score_gpt":0.239974575495599,"score_spread":0.228406601965868,"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."}}