{"id":"W3125485613","doi":"10.1002/alz.12216","title":"MarkVCID cerebral small vessel consortium: II. Neuroimaging protocols","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; National Institutes of Health; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; BrightFocus Foundation","keywords":"Neuroimaging; Medicine; Dementia; Magnetic resonance imaging; Clinical trial; Disease; Cognition; Biomarker; Intensive care medicine; Neuroscience; Physical medicine and rehabilitation; Pathology; Radiology; Psychology; Psychiatry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001238216,0.0002452237,0.0003394964,0.0000509799,0.000202262,0.00008102875,0.0001341983,0.00005462804,0.002504124],"category_scores_gemma":[0.00004077304,0.0002429684,0.0003309404,0.0002065392,0.00008491694,0.000131246,0.000209994,0.0001866295,0.0001627218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005773345,"about_ca_system_score_gemma":0.0002670043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002229212,"about_ca_topic_score_gemma":0.00001256264,"domain_scores_codex":[0.9982512,0.00009427012,0.0003587246,0.0005252973,0.0003292833,0.0004412111],"domain_scores_gemma":[0.9987554,0.00002313725,0.00008029523,0.0006818536,0.0001818606,0.0002774792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001855423,0.002086957,0.81582,0.0001802322,0.02771434,0.0005862539,0.0003732875,0.000007784873,0.01943563,0.001287064,0.04762233,0.08470051],"study_design_scores_gemma":[0.005593757,0.0003300136,0.4987391,0.0002467568,0.03317247,0.0007605424,0.0003076112,0.0001588491,0.1315403,0.0001897401,0.3281823,0.0007785931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7997266,0.07609693,0.0006559922,0.009478861,0.001576211,0.03085289,0.0001067502,0.001171667,0.08033408],"genre_scores_gemma":[0.9929439,0.00003316075,0.001380161,0.003187686,0.0002513084,0.001817039,0.0001548755,0.0000582235,0.000173576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170809,"threshold_uncertainty_score":0.9984077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219052306991087,"score_gpt":0.2825037065602863,"score_spread":0.2503131834903755,"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."}}