{"id":"W4405034738","doi":"10.1182/blood-2024-198253","title":"Validation of a Simplified Diagnostic Algorithm for Deep Vein Thrombosis","year":2024,"lang":"en","type":"article","venue":"Blood","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Queen's University; McMaster University; Western University; Ottawa Hospital; University of British Columbia","funders":"","keywords":"Deep vein; Thrombosis; Algorithm; Medicine; Radiology; Computer science; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02863648,0.0009846723,0.001359919,0.002970089,0.0005654055,0.002295827,0.001964134,0.001164077,0.002039951],"category_scores_gemma":[0.1201893,0.0004589514,0.00122798,0.001523578,0.0006377688,0.000860644,0.001776573,0.0009932143,0.0007564808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956104,"about_ca_system_score_gemma":0.00457712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00838716,"about_ca_topic_score_gemma":0.006439506,"domain_scores_codex":[0.9714409,0.01412507,0.004579762,0.002907258,0.006392439,0.0005545995],"domain_scores_gemma":[0.9251396,0.03786419,0.007015507,0.006035593,0.02298204,0.0009631499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006188098,0.001002326,0.5780145,0.001219432,0.001237534,0.0003098981,0.0003984247,0.05745855,0.004394904,0.002638709,0.01564191,0.3314957],"study_design_scores_gemma":[0.002790833,0.003069267,0.2442709,0.0005391935,0.001103306,0.002192718,0.0001991995,0.7152224,0.007213558,0.003693518,0.01952655,0.0001785945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5585598,0.002524972,0.4051962,0.001485322,0.0006519606,0.009852441,0.01234805,0.002864625,0.006516672],"genre_scores_gemma":[0.6140696,0.0004364189,0.3699776,0.0004834469,0.0001412534,0.002768395,0.01148025,0.0001058882,0.0005371086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02863648,"threshold_uncertainty_score":0.1514459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969349581785008,"score_gpt":0.2923936865534874,"score_spread":0.2727001907356373,"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."}}