{"id":"W2771135550","doi":"10.21037/jtd.2017.11.19","title":"Hybrid ablation for persistent atrial fibrillation: how to merge the best from both worlds","year":2017,"lang":"en","type":"letter","venue":"Journal of Thoracic Disease","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Atrial fibrillation; Merge (version control); Medicine; Cardiology; Ablation; Internal medicine; Information retrieval; 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":[0.001927418,0.0004619837,0.0009675486,0.0006146392,0.00150326,0.003006008,0.0007995939,0.01178962,0.003778512],"category_scores_gemma":[0.01138757,0.0001909327,0.0008156073,0.0003278699,0.002309771,0.006406537,0.001667553,0.01928822,0.003993088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114009,"about_ca_system_score_gemma":0.001056187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000458456,"about_ca_topic_score_gemma":0.001078768,"domain_scores_codex":[0.9987979,0.0004404024,0.0001628367,0.0001227706,0.0003327888,0.0001432671],"domain_scores_gemma":[0.9965402,0.002105516,0.0001977652,0.0001666371,0.0004305675,0.0005593594],"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":[0.0001996036,0.000258192,0.006244285,0.0006732358,0.000130102,0.05003757,0.0008945473,0.0007861247,0.002399863,0.02314065,0.585577,0.3296588],"study_design_scores_gemma":[0.000181973,0.0003248054,0.003447462,0.002151422,0.00009415865,0.1657038,0.002472408,0.001994842,0.0008488774,0.1650575,0.6575379,0.0001848992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00232106,0.02668463,0.002769597,0.9544148,0.008388235,0.0000123586,0.00002382646,0.00009085055,0.005294538],"genre_scores_gemma":[0.07452895,0.05713157,0.01007298,0.7113051,0.1387851,0.0001026886,0.0001201913,0.0001077197,0.007845643],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01178962,"threshold_uncertainty_score":0.01264042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07441446674887985,"score_gpt":0.3666997567010049,"score_spread":0.292285289952125,"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."}}