{"id":"W2071472876","doi":"10.3892/etm.2012.805","title":"Factors affecting pre- and post-stenting computed tomography perfusion in patients with middle cerebral artery stenosis","year":2012,"lang":"en","type":"article","venue":"Experimental and Therapeutic Medicine","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stenosis; Middle cerebral artery; Radiology; Stroke (engine); Perfusion scanning; Collateral circulation; Perfusion; Computed tomography angiography; Internal medicine; Cardiology; Computed tomography; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002301215,0.0003082734,0.0003599627,0.0005012156,0.0003081585,0.0003523435,0.0001500593,0.0004982098,0.0009588402],"category_scores_gemma":[0.002079869,0.0001530905,0.0003227961,0.0005286847,0.0002455478,0.0003498241,0.0001805113,0.0004474579,0.000160476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924813,"about_ca_system_score_gemma":0.0002590498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009265878,"about_ca_topic_score_gemma":0.001614715,"domain_scores_codex":[0.9997826,0.00004902699,0.00002874511,0.00003220147,0.00005234997,0.0000551686],"domain_scores_gemma":[0.9991541,0.0001977927,0.0003631468,0.00002932986,0.00007841895,0.0001772282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003379102,0.00005114183,0.9968668,0.000008198089,0.00003314029,0.0006053886,0.00006451286,0.00004769617,0.0004589561,0.00001163854,0.00004168474,0.001472999],"study_design_scores_gemma":[0.0000059793,0.0001966901,0.9982843,0.000002789299,0.00002825786,0.001088318,0.00009723182,0.0001263536,0.00009012382,0.00002095153,0.00005492828,0.000004026746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99955,0.0001507017,0.00004574714,0.00002497869,0.0000034135,0.000003551585,0.00002564272,0.000001168831,0.0001946626],"genre_scores_gemma":[0.9998147,0.00005263028,0.00003026762,0.000009024447,0.00000928558,0.000002631536,0.00004480932,4.451428e-7,0.00003625414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009588402,"threshold_uncertainty_score":0.003207624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684900996299241,"score_gpt":0.239851278326342,"score_spread":0.2230022683633495,"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."}}