{"id":"W1980973051","doi":"10.1088/0031-9155/53/23/011","title":"Scan–rescan and intra-observer variability of magnetic resonance imaging of carotid atherosclerosis at 1.5 T and 3.0 T","year":2008,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"International Atomic Energy Agency; Fonds National de la Recherche Luxembourg","keywords":"Intraclass correlation; Magnetic resonance imaging; Nuclear medicine; Medicine; Correlation; Nuclear magnetic resonance; Mathematics; Radiology; Physics; Geometry","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":[0.005753928,0.0003339225,0.0004724505,0.0006421605,0.0004944767,0.0005447937,0.0003453243,0.0004516821,0.0007219958],"category_scores_gemma":[0.01590669,0.000256706,0.0004060899,0.0003607418,0.0004688259,0.0003146095,0.0005683115,0.0004533789,0.0003193537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339696,"about_ca_system_score_gemma":0.0002738548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002564084,"about_ca_topic_score_gemma":0.00592943,"domain_scores_codex":[0.9962837,0.00157277,0.0003185864,0.0006343005,0.001028237,0.0001624752],"domain_scores_gemma":[0.9859937,0.006664635,0.001661589,0.002008535,0.003464223,0.0002073071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01314428,0.0008692548,0.7182112,0.0003110925,0.002122009,0.000681319,0.005251899,0.007865384,0.1385853,0.0005013293,0.002154923,0.1103019],"study_design_scores_gemma":[0.00004056839,0.0005626674,0.9836753,0.000005602912,0.0001185669,0.0003913687,0.000141209,0.00508991,0.009119268,0.000162207,0.0006529863,0.00004030816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946755,0.0001291901,0.004116118,0.00001430509,0.00000871779,0.00004451187,0.0002732196,0.00008772296,0.0006506083],"genre_scores_gemma":[0.995752,0.00003039392,0.002797628,0.00001420286,0.000007675008,0.0001035097,0.0006796307,0.00005242221,0.0005625027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005753928,"threshold_uncertainty_score":0.03043008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.077265358263696,"score_gpt":0.3019470163695634,"score_spread":0.2246816581058674,"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."}}