{"id":"W2072696281","doi":"10.1002/jmri.20225","title":"Performance of steady‐state free precession for imaging carotid artery disease","year":2004,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Steady-state free precession imaging; Medicine; Imaging phantom; Radiology; Magnetic resonance angiography; Stenosis; Carotid arteries; Carotid artery disease; Angiography; Nuclear medicine; Artifact (error); Magnetic resonance imaging; Carotid endarterectomy; Cardiology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003716929,0.0006030771,0.0002586239,0.0008431355,0.0002202218,0.0006220805,0.000336943,0.001165859,0.001007744],"category_scores_gemma":[0.01432483,0.0002726707,0.0002228396,0.000166604,0.0005511382,0.0009544775,0.0002381953,0.0003702173,0.0004684261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253927,"about_ca_system_score_gemma":0.0003402178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004040628,"about_ca_topic_score_gemma":0.0005406953,"domain_scores_codex":[0.9991981,0.0003860116,0.000060306,0.0001324962,0.0001758809,0.00004713368],"domain_scores_gemma":[0.9951594,0.002908612,0.0005475339,0.0002738083,0.0008014878,0.000309154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.011547,0.001125778,0.3602161,0.0006361835,0.0003810162,0.001323543,0.0006518425,0.003366525,0.3168755,0.0003510527,0.0008958408,0.3026296],"study_design_scores_gemma":[0.0009548402,0.04399939,0.6741393,0.0001871043,0.0008337804,0.03804897,0.0003108737,0.04875756,0.1881773,0.0008924218,0.003509088,0.000189467],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983889,0.002669122,0.01196758,0.0001578882,0.0000276835,0.00004920811,0.00004001545,0.0001813458,0.001018211],"genre_scores_gemma":[0.9915859,0.0003475597,0.007746036,0.00004559465,0.00002885016,0.00001810295,0.00007655354,0.00001753049,0.0001340545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003716929,"threshold_uncertainty_score":0.01965725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006921007935036621,"score_gpt":0.2455950549037962,"score_spread":0.2386740469687595,"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."}}