{"id":"W4389243888","doi":"10.1182/blood-2023-182054","title":"Predicting Major Bleeding in Patients with Venous Thromboembolism on Extended Anticoagulation Therapy Using Follow-up Data and Long Short-Term Memory Based Recurrent Neural Network","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Medicine; Thrombosis; Prospective cohort study; Major bleeding; Cohort; Venous thrombosis; Clinical trial; Internal medicine; Atrial fibrillation","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":[0.000940325,0.0004663464,0.0005400957,0.000728846,0.000156221,0.0005613246,0.0006369824,0.0005690926,0.0007232144],"category_scores_gemma":[0.003181263,0.0001995907,0.0006117871,0.000347698,0.000140031,0.0004038619,0.0003722847,0.0007073645,0.0001753592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004450788,"about_ca_system_score_gemma":0.0004739591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00708792,"about_ca_topic_score_gemma":0.00936238,"domain_scores_codex":[0.999765,0.00006928682,0.00002798021,0.00007069801,0.00003000115,0.00003704824],"domain_scores_gemma":[0.9990379,0.0005083562,0.000200199,0.00004923562,0.0001202571,0.0000840404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001410543,0.0008771333,0.810913,0.00009617282,0.0004737139,0.0006828972,0.0001722388,0.09911295,0.001544515,0.0002837568,0.001641403,0.08279164],"study_design_scores_gemma":[0.00003108004,0.0004527591,0.08722602,0.00002719077,0.0001470149,0.00017198,0.00006329422,0.9104701,0.000542499,0.0006161114,0.0002316768,0.00002025617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889552,0.0003894101,0.009200027,0.0003421275,0.00003857568,0.00002457453,0.0005867534,0.00006153018,0.0004019441],"genre_scores_gemma":[0.9966843,0.0001325763,0.002122602,0.00004262328,0.00001608341,0.00002210762,0.00072778,0.000002289062,0.0002497047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00708792,"threshold_uncertainty_score":0.01409334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04598360827980687,"score_gpt":0.2937262265188843,"score_spread":0.2477426182390774,"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."}}