{"id":"W4200258716","doi":"10.1002/jrsm.1543","title":"Reevaluation of statistically significant meta‐analyses in advanced cancer patients using the <scp>Hartung–Knapp</scp> method and prediction intervals—A methodological study","year":2021,"lang":"en","type":"review","venue":"Research Synthesis Methods","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cochrane","funders":"","keywords":"Meta-analysis; Random effects model; Confidence interval; Hazard ratio; Medicine; Fixed effects model; Statistics; Sample size determination; Randomized controlled trial; Internal medicine; Mathematics","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":["metaresearch"],"category_scores_codex":[0.2755803,0.005538499,0.0173411,0.01497256,0.001181742,0.007719202,0.007238559,0.004628255,0.005118073],"category_scores_gemma":[0.5311311,0.003318317,0.07827967,0.01462863,0.002193267,0.006679835,0.003803444,0.005992739,0.0008326466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003645907,"about_ca_system_score_gemma":0.005967565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002857923,"about_ca_topic_score_gemma":0.005119586,"domain_scores_codex":[0.6413348,0.2577004,0.06511628,0.01297,0.02162872,0.001249799],"domain_scores_gemma":[0.4875553,0.450044,0.02479126,0.0257105,0.01119649,0.0007024941],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002142856,0.00005078239,0.006043686,0.1729275,0.7631401,0.0006526241,0.0003780913,0.003766846,0.0006409632,0.003098968,0.004737475,0.04242013],"study_design_scores_gemma":[0.002796735,0.0005613017,0.004738627,0.03172269,0.9231847,0.000602963,0.0002207096,0.007296732,0.001377379,0.0145385,0.01272198,0.0002377839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01302509,0.7059632,0.2490047,0.006075443,0.003851091,0.01127593,0.006071556,0.001638562,0.003094421],"genre_scores_gemma":[0.5149801,0.1192803,0.313449,0.01050977,0.001915682,0.03152796,0.005618826,0.001181739,0.001536664],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7244197,"threshold_uncertainty_score":0.8933384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9859069302083531,"score_gpt":0.7982354511094404,"score_spread":0.1876714790989127,"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."}}