{"id":"W2046643306","doi":"10.3389/fneur.2014.00158","title":"Differences in Cerebral Perfusion Deficits in Mild Traumatic Brain Injury and Depression Using Single-Photon Emission Computed Tomography","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Traumatic brain injury; Major depressive disorder; Perfusion; Depression (economics); Psychology; Anterior cingulate cortex; Cerebral perfusion pressure; Posterior cingulate; Medicine; Perfusion scanning; Internal medicine; Cardiology; Orbitofrontal cortex; Prefrontal cortex; Psychiatry; Cortex (anatomy); Neuroscience; Cognition","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003182352,0.0002099443,0.000206085,0.0005641411,0.000170834,0.0002738509,0.0001274519,0.000241626,0.0009584959],"category_scores_gemma":[0.001037224,0.0001022061,0.0001991068,0.000224158,0.0002319875,0.000163332,0.0002281083,0.000192516,0.0001173888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300625,"about_ca_system_score_gemma":0.0001297701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526488,"about_ca_topic_score_gemma":0.002127989,"domain_scores_codex":[0.9998952,0.0000229442,0.00001427969,0.00002280519,0.0000249595,0.00001975527],"domain_scores_gemma":[0.9996636,0.00005366415,0.0001547332,0.00001520237,0.00003782595,0.00007504404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001568711,0.0001563646,0.9836313,0.00002642645,0.0001557635,0.0003337428,0.0001453213,0.00007281394,0.007402181,0.00002770723,0.00007991763,0.006399761],"study_design_scores_gemma":[0.000009884747,0.0001823864,0.999132,0.000002257463,0.00001160304,0.0003564674,0.00003342679,0.00005475396,0.0001743431,0.00001913728,0.00002239335,0.000001427614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995937,0.0001040222,0.00005792568,0.00001042646,0.00000120096,0.00001226515,0.00005923141,9.003683e-7,0.0001603859],"genre_scores_gemma":[0.999712,0.00005110934,0.00005979854,0.00001261438,0.000002931898,0.000009630096,0.00009839256,3.140239e-7,0.00005313674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001526488,"threshold_uncertainty_score":0.003206491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05450980958439661,"score_gpt":0.2996238769667633,"score_spread":0.2451140673823667,"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."}}