{"id":"W4380738098","doi":"10.1016/j.diii.2023.05.007","title":"Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge","year":2023,"lang":"en","type":"article","venue":"Diagnostic and Interventional Imaging","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Société Française de Radiologie","keywords":"Medicine; Pulmonary embolism; Radiology; Pulmonary angiography; Nuclear medicine; Medical physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007229957,0.0001531232,0.0002568115,0.0001959186,0.0002036252,0.00006708479,0.0001742776,0.00003543837,0.0001046476],"category_scores_gemma":[0.0004687059,0.0001137229,0.0000576705,0.0003265276,0.0003052926,0.0002256511,0.0002849243,0.0001683126,0.00002772039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001827556,"about_ca_system_score_gemma":0.00002540066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001430169,"about_ca_topic_score_gemma":0.00006550897,"domain_scores_codex":[0.9985138,0.00006157497,0.0004715435,0.0004331231,0.0003092094,0.0002108006],"domain_scores_gemma":[0.9987441,0.0005196402,0.0001592078,0.0003862928,0.0001215182,0.00006923201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00010426,0.0007607978,0.002371503,0.00035377,0.0001540913,0.00005440483,0.0005362611,0.00008092525,0.0009980113,0.06190443,0.0003150162,0.9323665],"study_design_scores_gemma":[0.0002846633,0.001131908,0.4735637,0.002915019,0.001375454,0.0003221823,0.02409363,0.3780805,0.01024809,0.104027,0.003137768,0.0008200121],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6935814,0.008488457,0.2635647,0.02938809,0.001195308,0.002230333,0.0001894355,0.0002375055,0.001124805],"genre_scores_gemma":[0.9969178,0.002363738,0.0001127581,0.00009487427,0.0001821203,0.00007661025,0.0001931476,0.00001928982,0.00003962797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9315465,"threshold_uncertainty_score":0.4637484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07693217665438798,"score_gpt":0.3349581165420311,"score_spread":0.2580259398876431,"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."}}