{"id":"W4402736042","doi":"10.1016/j.jcin.2024.08.018","title":"Thinking Forward . . . and Backward","year":2024,"lang":"en","type":"editorial","venue":"JACC: Cardiovascular Interventions","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Computer science","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":[0.01208527,0.004981797,0.005066013,0.004576853,0.004346326,0.01162389,0.004971924,0.01898089,0.02874191],"category_scores_gemma":[0.05645771,0.001796923,0.003693901,0.002192058,0.003952962,0.008759931,0.002356884,0.03342012,0.02795278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004331255,"about_ca_system_score_gemma":0.005807455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002775023,"about_ca_topic_score_gemma":0.007341124,"domain_scores_codex":[0.990958,0.002085934,0.001034246,0.0007919467,0.004618343,0.0005115299],"domain_scores_gemma":[0.9602564,0.01938639,0.001973758,0.0008621459,0.0130762,0.004445152],"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":[0.00002637229,0.000006912993,0.000008667578,0.0001878223,0.00001598029,0.00002647829,0.00000832078,0.00001324534,0.0000156747,0.0002748866,0.9968816,0.002534126],"study_design_scores_gemma":[0.0001305818,0.00003193483,0.0001625539,0.0008989474,0.00008305485,0.0001547798,0.00004757028,0.0001504514,0.0000667339,0.002254854,0.9959894,0.00002922949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000009399456,0.003574393,0.00006105592,0.03046474,0.9646639,0.00001316992,0.00004247515,0.00004465546,0.001126324],"genre_scores_gemma":[0.0001916604,0.003709982,0.00009601456,0.03773322,0.9499123,0.00002882902,0.0000371229,0.00004134815,0.008249463],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02874191,"threshold_uncertainty_score":0.09615129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636424336440281,"score_gpt":0.3522822043517118,"score_spread":0.335917960987309,"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."}}