{"id":"W6997231763","doi":"","title":"Using noncontrast computed tomography to improve prediction of intracerebral hemorrhage expansion","year":2023,"lang":"en","type":"article","venue":"Florence Research (University of Florence)","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intracerebral hemorrhage; Computed tomography; Logistic regression; Receiver operating characteristic; Computed tomography angiography; Hematoma; Thrombolysis; Spontaneous intracerebral hemorrhage","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":[0.001493614,0.000579211,0.0003606705,0.001321393,0.0001431304,0.0005633601,0.0004231706,0.0003390219,0.0008622101],"category_scores_gemma":[0.006786004,0.0001686614,0.0004591645,0.0008927491,0.0002913587,0.0005193806,0.0003911199,0.0005231921,0.0002285073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652695,"about_ca_system_score_gemma":0.0005257119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002076184,"about_ca_topic_score_gemma":0.00270347,"domain_scores_codex":[0.9993898,0.0002391809,0.00008152549,0.00009998566,0.0001241465,0.00006541829],"domain_scores_gemma":[0.9952471,0.001962438,0.001807779,0.0002376211,0.0003720669,0.000373021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001603521,0.00001884244,0.9981064,0.00000702328,0.00002161364,0.00003955838,0.000007782971,0.0001434906,0.00006422422,0.000005861358,0.00003086432,0.001394176],"study_design_scores_gemma":[0.00001828982,0.000304844,0.9942901,0.00001538069,0.00006523505,0.0004635742,0.00004353896,0.004281379,0.0003261951,0.0000479354,0.0001370798,0.000006353301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984788,0.0003764755,0.0004553292,0.00006340576,0.00001219402,0.00001353858,0.0002310813,0.00001355425,0.0003556329],"genre_scores_gemma":[0.9992804,0.00009587227,0.0003263706,0.000009570615,0.00001445577,0.000004930864,0.0002128212,0.000001639107,0.00005406441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002076184,"threshold_uncertainty_score":0.007899106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07439516579453855,"score_gpt":0.324035041550493,"score_spread":0.2496398757559545,"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."}}