{"id":"W4412780943","doi":"10.1161/circimaging.125.018714","title":"Higher Precision With CCTA Compared With TEE for Detection of Residual LAA Patency After Closure","year":2025,"lang":"en","type":"editorial","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Medicine; Residual; Cardiology; Internal medicine; Closure (psychology); Radiology; Algorithm","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":[0.01162851,0.003785625,0.005239098,0.003788869,0.001544145,0.004981062,0.002808996,0.01713337,0.006571903],"category_scores_gemma":[0.04498156,0.001956723,0.00332057,0.00121954,0.002255854,0.002568343,0.001056347,0.01972421,0.005776001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002457416,"about_ca_system_score_gemma":0.00201455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765629,"about_ca_topic_score_gemma":0.002693905,"domain_scores_codex":[0.9934601,0.001360383,0.001191271,0.001004901,0.002654088,0.0003292038],"domain_scores_gemma":[0.9515548,0.03072417,0.002063255,0.001100028,0.01274957,0.001808271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003041559,0.00003052603,0.0001395638,0.00170739,0.000196255,0.0003176848,0.00001821748,0.00006154978,0.0002093847,0.0004642318,0.9739004,0.02265064],"study_design_scores_gemma":[0.0009191542,0.0002848213,0.003343477,0.00351293,0.001306062,0.00206413,0.00005760898,0.001261314,0.001058651,0.002187628,0.9838942,0.0001100405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001376179,0.01764394,0.0004434332,0.02805767,0.951675,0.00004099157,0.00009406071,0.00009914291,0.001808158],"genre_scores_gemma":[0.000904646,0.004676992,0.0002719948,0.01845781,0.9731406,0.00003243073,0.00003201841,0.00003635233,0.002447149],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01713337,"threshold_uncertainty_score":0.06149817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008011010051572632,"score_gpt":0.2441041244362029,"score_spread":0.2360931143846303,"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."}}