{"id":"W4224289711","doi":"10.1148/ryai.210115","title":"Artificial Intelligence with Statistical Confidence Scores for Detection of Acute or Subacute Hemorrhage on Noncontrast CT Head Scans","year":2022,"lang":"en","type":"article","venue":"Radiology Artificial Intelligence","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; Siemens Healthineers","keywords":"Medicine; Radiology; Head (geology); Confidence interval; Nuclear medicine; Internal medicine","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":[0.01165433,0.000818827,0.0005696429,0.005785157,0.0002436465,0.00156686,0.0009101567,0.0007170495,0.0006296163],"category_scores_gemma":[0.08357898,0.0002560719,0.00076249,0.002156544,0.0007192602,0.001266724,0.001006854,0.0007399857,0.0001827264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000925616,"about_ca_system_score_gemma":0.0007641048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001903632,"about_ca_topic_score_gemma":0.001727902,"domain_scores_codex":[0.9940685,0.002711062,0.0007040652,0.0008314751,0.001537166,0.0001477322],"domain_scores_gemma":[0.9626948,0.02463123,0.005898364,0.002197057,0.004076992,0.0005015297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001128851,0.0001995741,0.6010463,0.0002073575,0.001037876,0.0002455291,0.0002194141,0.07908114,0.003302874,0.001531843,0.002013174,0.3099861],"study_design_scores_gemma":[0.00007420847,0.000542163,0.149548,0.0001161751,0.0003021468,0.0006179621,0.000104758,0.8362492,0.005985195,0.005199712,0.001182752,0.00007768975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7384198,0.002420278,0.253469,0.0005373895,0.00007418429,0.0002709483,0.0007766122,0.001110354,0.002921377],"genre_scores_gemma":[0.960654,0.0001744521,0.03830718,0.00006030067,0.00005363994,0.0001020176,0.0004621664,0.00003189733,0.0001544516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01165433,"threshold_uncertainty_score":0.06163472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0624108107971913,"score_gpt":0.3564786789809139,"score_spread":0.2940678681837226,"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."}}