{"id":"W2925108450","doi":"10.1161/strokeaha.118.024050","title":"Interrater and Intrarater Measurement Reliability of Noncontrast Computed Tomography Predictors of Intracerebral Hemorrhage Expansion","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Inter-rater reliability; Medicine; Intracerebral hemorrhage; Hematoma; Intra-rater reliability; Radiology; Computed tomography; Kappa; Nuclear medicine; Surgery; Confidence interval; Glasgow Coma Scale; Internal medicine; Rating scale; Psychology","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":[0.04360913,0.0007975503,0.0008542568,0.002017092,0.0009690204,0.001318419,0.0008393315,0.0005752688,0.001133925],"category_scores_gemma":[0.1003737,0.000469582,0.001044968,0.0008043978,0.001661281,0.001145363,0.002244876,0.0007051004,0.0006830097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005000017,"about_ca_system_score_gemma":0.000843717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838574,"about_ca_topic_score_gemma":0.00338734,"domain_scores_codex":[0.9513459,0.02960425,0.00626563,0.004032448,0.007736105,0.001015688],"domain_scores_gemma":[0.8270341,0.1076627,0.01095983,0.0120618,0.04085811,0.001423374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002318051,0.0001964817,0.9233195,0.0007610567,0.001352235,0.0002100873,0.01025517,0.002031817,0.006296305,0.0006981837,0.001359666,0.05120148],"study_design_scores_gemma":[0.0002048032,0.001377381,0.9404661,0.0004649483,0.000998541,0.001697924,0.006312382,0.02457147,0.01705637,0.003059444,0.003542206,0.0002484769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633257,0.001495362,0.02780967,0.0001075046,0.0001978792,0.0006125437,0.0006435155,0.0002244094,0.005583394],"genre_scores_gemma":[0.9905388,0.0001395074,0.008438062,0.00002857309,0.00003671787,0.0002328524,0.0002017883,0.00003699559,0.000346578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04360913,"threshold_uncertainty_score":0.2306299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193712163395301,"score_gpt":0.2390412706883479,"score_spread":0.2271041490543949,"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."}}