{"id":"W2009829821","doi":"10.1016/j.nbd.2011.06.005","title":"RETRACTED: Differential impact of diabetes and hypertension in the brain: Adverse effects in grey matter","year":2011,"lang":"en","type":"article","venue":"Neurobiology of Disease","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":45,"is_retracted":true,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; National Research Council Institute for Biodiagnostics; Ontario Brain Institute; University of Calgary","funders":"","keywords":"Atrophy; Grey matter; Medicine; Diabetes mellitus; White matter; Magnetic resonance imaging; Neuroimaging; Brain Structure and Function; Brain size; Hippocampal formation; Internal medicine; Cerebral atrophy; Neuroscience; Hyperintensity; Endocrinology; Cognition; Cardiology; Psychology; Psychiatry; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":{"nature":"Retraction","reason":"Investigation by Company/Institution;Manipulation of Images;","date":"6/16/2014 0:00","openalex_flagged":true},"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003908735,0.001187861,0.001406132,0.001068464,0.001968771,0.002738829,0.004846744,0.01387366,0.0164531],"category_scores_gemma":[0.02334545,0.0006180925,0.001074795,0.001178943,0.002101253,0.004483406,0.002392111,0.008524133,0.01195174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785504,"about_ca_system_score_gemma":0.00399593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008088262,"about_ca_topic_score_gemma":0.009647516,"domain_scores_codex":[0.9981902,0.0003306079,0.00038261,0.0002889686,0.0005940231,0.0002136463],"domain_scores_gemma":[0.9801092,0.004863306,0.001195899,0.001862037,0.009997163,0.001972463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001904662,0.00004766095,0.001431234,0.0003293445,0.00004689081,0.001374734,0.0002347283,0.00009685611,0.001070886,0.0008962105,0.9329854,0.06129567],"study_design_scores_gemma":[0.0001232751,0.000172642,0.01482206,0.0006778855,0.0001127774,0.004791748,0.0010054,0.0008385394,0.002839576,0.007137669,0.9673255,0.0001528575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006231987,0.01184846,0.002377857,0.5150293,0.4587205,0.00008648606,0.0008048693,0.0007681655,0.004132452],"genre_scores_gemma":[0.04682028,0.01281638,0.006100208,0.468856,0.3470206,0.0001506197,0.001164446,0.0005108739,0.1165606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0164531,"threshold_uncertainty_score":0.05504107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365263751180319,"score_gpt":0.2382746099663268,"score_spread":0.2146219724545236,"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."}}