{"id":"W3111214451","doi":"10.1016/j.jtcvs.2020.11.142","title":"Commentary: Microvesicles, personalized surgery, and tailored medical therapy to improve coronary artery bypass grafting outcomes","year":2020,"lang":"en","type":"letter","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Cardiac and Coronary Surgery Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Bypass grafting; Artery; Microvesicle; Cardiology; Internal medicine; Coronary artery bypass surgery; Cardiac surgery; Surgery; Microvesicles","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":[0.004648197,0.001081015,0.002338753,0.0008144307,0.004137672,0.003930795,0.002348844,0.07720569,0.009216216],"category_scores_gemma":[0.03223373,0.0008088643,0.001574383,0.0008635749,0.002809532,0.003202505,0.00167052,0.05293442,0.008980445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005460298,"about_ca_system_score_gemma":0.007757104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007780544,"about_ca_topic_score_gemma":0.01117836,"domain_scores_codex":[0.9958794,0.001333662,0.0005061366,0.0005435916,0.001224225,0.0005130267],"domain_scores_gemma":[0.9857436,0.009317516,0.0007948665,0.0002527923,0.002110346,0.001780891],"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":[0.00008741761,0.00002749458,0.0002158827,0.00005661156,0.00002208115,0.0005462121,0.00006613332,0.00004439422,0.00008682588,0.001384463,0.9931397,0.004322893],"study_design_scores_gemma":[0.0004318161,0.0001166865,0.001114031,0.0006878097,0.000118091,0.001347699,0.000389395,0.0006724814,0.000289995,0.01090678,0.9838219,0.0001033521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001847083,0.000770011,0.00004882608,0.9747945,0.02274053,0.000009026621,0.00007380722,0.00001513147,0.001363513],"genre_scores_gemma":[0.00152613,0.0005399466,0.0001053895,0.9515336,0.0432723,0.00003011349,0.00002661836,0.00001056625,0.002955338],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07720569,"threshold_uncertainty_score":0.03961736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.022034414925021,"score_gpt":0.2748851517334041,"score_spread":0.252850736808383,"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."}}