{"id":"W4408592510","doi":"10.1371/journal.pone.0314661","title":"Gallstones as a predictor of elevated cardiovascular disease risk: A meta-analysis and meta-regression of over 7.4 million participants","year":2025,"lang":"en","type":"review","venue":"PLoS ONE","topic":"Gallbladder and Bile Duct Disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Medicine; Publication bias; Checklist; Subgroup analysis; Internal medicine; Gallstones; Relative risk; Meta-regression; Sample size determination; Confounding; Study heterogeneity; Demography; Confidence interval; Statistics; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02212016,0.003763373,0.01905559,0.00650757,0.000839938,0.003719395,0.002243339,0.00229066,0.002946268],"category_scores_gemma":[0.03131605,0.00215152,0.07987116,0.006592769,0.0006199837,0.001769059,0.001774384,0.002494566,0.0003440139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968872,"about_ca_system_score_gemma":0.002931766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006867936,"about_ca_topic_score_gemma":0.009955628,"domain_scores_codex":[0.9883967,0.00637823,0.002628596,0.001285052,0.0009041791,0.0004072261],"domain_scores_gemma":[0.9832667,0.01191383,0.002269319,0.0009923214,0.001279669,0.0002782883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003040337,0.00003413374,0.01173697,0.04800853,0.9313834,0.000135084,0.00005453536,0.0007899328,0.0002434266,0.00006510424,0.0002792358,0.004229355],"study_design_scores_gemma":[0.0003154759,0.0001357551,0.003955935,0.002446088,0.9922928,0.00007023783,0.00001879213,0.000264935,0.00007186906,0.00007992769,0.0003340611,0.00001408869],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03167643,0.963605,0.002151829,0.0003713023,0.0002890604,0.0003594912,0.001101993,0.00007926866,0.0003656112],"genre_scores_gemma":[0.536943,0.4504429,0.007034315,0.0009978511,0.0004008118,0.001389626,0.002045875,0.0001051944,0.0006403861],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02212016,"threshold_uncertainty_score":0.116984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1500159130915301,"score_gpt":0.3387757344049752,"score_spread":0.1887598213134452,"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."}}