{"id":"W2099975825","doi":"10.1212/01.wnl.0000191391.71614.51","title":"Plaque density on CT, a potential marker of ischemic stroke","year":2006,"lang":"en","type":"article","venue":"Neurology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Ischemic stroke; Stroke (engine); Medicine; Cardiology; Internal medicine; Ischemia; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003591172,0.00008486794,0.0001941326,0.00005631971,0.0000192806,0.000002145383,0.00004278654,0.00004090311,0.0002477256],"category_scores_gemma":[0.00001422549,0.00007589285,0.0001610278,0.00003669084,0.00006754834,0.00001380814,0.00002332561,0.0001332031,0.00003954774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004474876,"about_ca_system_score_gemma":0.00002924751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001148786,"about_ca_topic_score_gemma":0.00002625654,"domain_scores_codex":[0.9993535,0.00004478488,0.0001320565,0.0001848934,0.0001341169,0.0001506672],"domain_scores_gemma":[0.9996291,0.00002473252,0.00003679764,0.0002288717,0.0000305873,0.00004992879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002794012,0.0009717097,0.7964827,0.00009781794,0.0001460492,0.0005166759,0.00001165775,0.0001005762,0.1578837,0.0004307938,0.03871203,0.001852253],"study_design_scores_gemma":[0.00187886,0.000799987,0.9584621,0.000006322582,0.000143147,0.0007111952,0.000002800015,0.0001118468,0.02416166,0.0000331552,0.01361165,0.00007726494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853017,0.00002655104,0.00002655874,0.0006068466,0.0001314768,0.0001227524,0.00001258898,0.0000299808,0.01374155],"genre_scores_gemma":[0.9978859,0.00000837019,0.00001336461,0.001541987,0.0001589516,0.000004429002,0.00002527647,0.00001122423,0.0003504869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1619794,"threshold_uncertainty_score":0.309482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003893576145877819,"score_gpt":0.2005690950935948,"score_spread":0.196675518947717,"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."}}