{"id":"W2959587007","doi":"10.1016/j.jtcvs.2019.06.094","title":"Commentary: When the back of the envelope calculation just isn't good enough, use decision analysis modeling","year":2019,"lang":"en","type":"letter","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Randomized controlled trial; Cardiology; Mitral regurgitation; Mitral valve repair; Clinical trial; Artery; Internal medicine; Bypass grafting; Mitral valve","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01380477,0.00122623,0.002627906,0.001447705,0.005532667,0.007115174,0.003821777,0.08282088,0.01138716],"category_scores_gemma":[0.1177623,0.001333124,0.002402669,0.001597503,0.004624998,0.005183169,0.002290974,0.06953987,0.01165496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008064295,"about_ca_system_score_gemma":0.01367119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01962089,"about_ca_topic_score_gemma":0.02596494,"domain_scores_codex":[0.9849505,0.006064886,0.002238579,0.001588478,0.003754702,0.001402903],"domain_scores_gemma":[0.9204279,0.05910556,0.003240938,0.00133615,0.01175598,0.004133445],"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":[0.00003896351,0.0000128711,0.0001923009,0.0000557687,0.00001843501,0.0002574018,0.0001149357,0.00006385449,0.00003796941,0.001596989,0.9945338,0.003076833],"study_design_scores_gemma":[0.0003126108,0.00006624086,0.0009236938,0.001400674,0.0001117008,0.0008081541,0.0007047796,0.001269946,0.0002382906,0.02543173,0.9685572,0.0001749545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00007201491,0.0002090887,0.00007443644,0.9877983,0.0109778,0.00000724955,0.0000610745,0.00001344757,0.0007866293],"genre_scores_gemma":[0.0009326975,0.0001968112,0.0002086919,0.9770398,0.01993405,0.000031134,0.00001927119,0.00001744443,0.001620058],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08282088,"threshold_uncertainty_score":0.07300746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382004056772632,"score_gpt":0.3146914564393596,"score_spread":0.2764910507620964,"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."}}