{"id":"W3123661268","doi":"10.1148/ryai.2021200254","title":"The RSNA Pulmonary Embolism CT Dataset","year":2021,"lang":"en","type":"article","venue":"Radiology Artificial Intelligence","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Pulmonary embolism; Nuclear medicine; Radiology; 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":[0.0007157009,0.001121216,0.001009679,0.002502952,0.0004333753,0.00134473,0.001791301,0.001837808,0.03969795],"category_scores_gemma":[0.007082961,0.000393436,0.001131853,0.001953138,0.0002442491,0.0004751375,0.001165515,0.001070688,0.03030414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149593,"about_ca_system_score_gemma":0.00145445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280628,"about_ca_topic_score_gemma":0.02253303,"domain_scores_codex":[0.9994993,0.00009387428,0.00009281646,0.000142895,0.0001053309,0.00006573329],"domain_scores_gemma":[0.9987243,0.0005250779,0.000128589,0.0002525809,0.0002457075,0.0001237683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00053938,0.0001482991,0.01319427,0.001529237,0.0003461154,0.0003785313,0.00003633259,0.002341941,0.000772129,0.0008935337,0.9591747,0.02064557],"study_design_scores_gemma":[0.002000996,0.0001952334,0.06092698,0.001363833,0.0006226513,0.003799081,0.0001805039,0.013214,0.002797952,0.008288091,0.9064524,0.0001583891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002756191,0.000395086,0.0005835997,0.0002344688,0.00004664309,0.00008183823,0.9936731,0.0007846822,0.001444364],"genre_scores_gemma":[0.005700141,0.0001984889,0.001207424,0.0001304919,0.00003750883,0.000182794,0.9917783,0.0000900921,0.0006746982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03969795,"threshold_uncertainty_score":0.1328028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04509334302498019,"score_gpt":0.324612038351644,"score_spread":0.2795186953266638,"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."}}