{"id":"W2410153973","doi":"","title":"Interobserver agreement in perfusion computed tomography evaluation in acute ischaemic stroke.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Acute stroke; Kappa; Cerebral blood flow; Ischaemic stroke; Radiology; Perfusion scanning; Neurology; Computed tomography; Perfusion; Nuclear medicine; Clinical judgment; Cardiology; Ischemia; Internal medicine; Medical physics","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":[0.0462809,0.0005931798,0.0009187742,0.003149088,0.0006435752,0.001513775,0.001152223,0.0009067407,0.000680916],"category_scores_gemma":[0.110759,0.0005032751,0.0008460807,0.001229809,0.001532735,0.00120644,0.002577483,0.0005131084,0.0003837611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006274595,"about_ca_system_score_gemma":0.0005512793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514817,"about_ca_topic_score_gemma":0.002199882,"domain_scores_codex":[0.9435857,0.03199551,0.008555533,0.005350833,0.009538146,0.0009742728],"domain_scores_gemma":[0.8582354,0.0951311,0.01649068,0.008114426,0.02052192,0.001506577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00102964,0.00004083919,0.9723467,0.0002868148,0.0009093204,0.0001759975,0.002611748,0.0006605791,0.001511224,0.0001488816,0.0004119301,0.01986632],"study_design_scores_gemma":[0.00005845698,0.0003706456,0.9829744,0.0001433588,0.0004079019,0.001731838,0.001789457,0.008337877,0.002291342,0.0007728343,0.00105591,0.00006603922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782658,0.002816522,0.01551203,0.00009856844,0.0001534755,0.0002644513,0.0002902497,0.0001067384,0.00249218],"genre_scores_gemma":[0.9971812,0.0001088509,0.002317929,0.00001618988,0.00002684859,0.00006322065,0.0001529714,0.00001483589,0.0001179618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0462809,"threshold_uncertainty_score":0.2447597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550486887071288,"score_gpt":0.2602933396426689,"score_spread":0.2347884707719561,"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."}}