{"id":"W2896236102","doi":"10.1016/j.carpath.2018.09.003","title":"Pathological correlates of brain arterial calcifications","year":2018,"lang":"en","type":"article","venue":"Cardiovascular Pathology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Columbia College","funders":"National Institute of Mental Health; National Institute on Aging; National Institutes of Health","keywords":"Calcification; Medicine; Autopsy; Pathological; Lumen (anatomy); Stenosis; Cerebral arteries; Circle of Willis; Atheroma; Pathology; Univariate analysis; Cardiology; Radiology; Internal medicine; Multivariate analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0004463053,0.0001666459,0.0006465787,0.0001123728,0.00008266241,0.000007538444,0.000118296,0.0001867238,0.00035306],"category_scores_gemma":[0.0003472752,0.0001415939,0.001255415,0.0002064125,0.0007200804,0.00003925514,0.0000641577,0.0001318786,0.0002108982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002134494,"about_ca_system_score_gemma":0.00007009565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003147961,"about_ca_topic_score_gemma":9.309461e-7,"domain_scores_codex":[0.9984536,0.0002506678,0.0003254782,0.0004185539,0.00027304,0.000278696],"domain_scores_gemma":[0.9984949,0.00005413827,0.00005763906,0.0009792638,0.0002642286,0.0001498399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001218262,0.003388584,0.523862,0.0006212285,0.009101917,0.002440098,0.003947726,0.00009121904,0.2457235,0.01786564,0.01860478,0.173135],"study_design_scores_gemma":[0.004078989,0.001093501,0.9491931,0.000066514,0.001618448,0.005281103,0.0003946199,0.00006357343,0.01055443,0.0005670305,0.02672713,0.0003615236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848926,0.001288663,0.006791098,0.0002257597,0.0005395561,0.0004026077,0.00003254779,0.0001012269,0.005725922],"genre_scores_gemma":[0.998154,0.00007817605,0.0005805285,0.000300995,0.0006074064,0.0000460114,0.000084575,0.00002306411,0.000125188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4253311,"threshold_uncertainty_score":0.5774033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738743767867007,"score_gpt":0.2587276338828192,"score_spread":0.2413401962041491,"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."}}