{"id":"W3108536614","doi":"10.1093/ehjci/ehaa946.3551","title":"Effect of immortal time bias on the association between atrial fibrillation ablation and incident stroke: a meta-analysis","year":2020,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Observational study; Atrial fibrillation; Randomized controlled trial; Stroke (engine); Meta-analysis; Internal medicine; Cardiology; Catheter ablation; Ablation; Subgroup analysis; Cryoablation; Epidemiology; Surgery","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05460209,0.002979895,0.01581411,0.007181987,0.0007389502,0.00529963,0.003400552,0.003210198,0.004921716],"category_scores_gemma":[0.1095017,0.001626109,0.08119243,0.007755195,0.001182107,0.002836522,0.002378204,0.003349863,0.0004715536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306003,"about_ca_system_score_gemma":0.003092397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003993518,"about_ca_topic_score_gemma":0.004462714,"domain_scores_codex":[0.9537052,0.029787,0.00902624,0.003676531,0.002971295,0.0008337118],"domain_scores_gemma":[0.8559207,0.1242993,0.009883081,0.005298711,0.003942884,0.0006553486],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002595561,0.00001866562,0.007965094,0.06690518,0.915413,0.00009888972,0.00005076202,0.0007633163,0.00009603604,0.000263014,0.00055193,0.005278529],"study_design_scores_gemma":[0.0007396591,0.0001226332,0.003241483,0.00558508,0.9879543,0.00006600526,0.00001733929,0.0005528929,0.0001004238,0.0007228685,0.0008724898,0.0000247694],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01411604,0.973332,0.006913287,0.0009168697,0.001068994,0.0007619188,0.001957519,0.0001443557,0.0007889738],"genre_scores_gemma":[0.5742274,0.3951692,0.01578175,0.002906151,0.001892382,0.005357609,0.003246584,0.0002202662,0.001198595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9453979,"threshold_uncertainty_score":0.288767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3201336256414198,"score_gpt":0.4129649609790839,"score_spread":0.09283133533766408,"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."}}