{"id":"W2976405568","doi":"10.1002/bimj.201900036","title":"Meta‐analysis of the difference of medians","year":2019,"lang":"en","type":"article","venue":"Biometrical Journal","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Median; Statistics; Meta-analysis; Weighting; Sample size determination; Mathematics; Standard deviation; Variance (accounting); Pooled variance; Outcome (game theory); Mean difference; Confidence interval; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007449082,0.00009285814,0.0008144354,0.0008782531,0.00002954314,0.00001567546,0.0004210208,0.00006498714,0.001578215],"category_scores_gemma":[0.002394286,0.00004497437,0.0008026572,0.005613039,0.0001137988,0.00002314759,0.00007234326,0.0001972894,0.000003887698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001612196,"about_ca_system_score_gemma":0.0000440919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001254412,"about_ca_topic_score_gemma":0.000001595228,"domain_scores_codex":[0.9983467,0.0002530194,0.0005389601,0.0001057977,0.0006016648,0.0001537911],"domain_scores_gemma":[0.9950426,0.003947239,0.0004308718,0.0002866911,0.0001968655,0.00009574449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007369053,0.001102854,0.08921005,0.0003005619,0.1922477,0.0000113457,0.0005290436,0.000004864495,0.02321266,0.6319978,0.0004685642,0.06084091],"study_design_scores_gemma":[0.0004190344,0.0002786825,0.2273801,0.0000277191,0.1439584,0.00002418231,0.0000740484,0.001240927,0.009260841,0.6170264,0.00008619888,0.0002234924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05974948,0.0004056976,0.9377939,0.000287014,0.0002479198,0.0001152154,0.00008723492,0.000006319138,0.001307229],"genre_scores_gemma":[0.7804399,0.00002842591,0.2193582,0.00003149405,0.00001966647,0.000001066931,2.185238e-7,0.000005522979,0.0001155215],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7206904,"threshold_uncertainty_score":0.9993345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1875207696650769,"score_gpt":0.3957336478869019,"score_spread":0.208212878221825,"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."}}