{"id":"W4389569015","doi":"10.1002/jrsm.1686","title":"<scp>metamedian</scp>: An R package for meta‐analyzing studies reporting medians","year":2023,"lang":"en","type":"review","venue":"Research Synthesis Methods","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"National Science Foundation","keywords":"Meta-analysis; Computer science; Sample size determination; Median; Software; Sample (material); Outcome (game theory); Statistics; Data science; 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":[],"category_scores_codex":[0.02659353,0.004505477,0.004867429,0.01000615,0.0007705545,0.005224344,0.004497184,0.002494667,0.1326206],"category_scores_gemma":[0.1840583,0.003206033,0.01081355,0.009772864,0.001224506,0.0036222,0.005638999,0.004011754,0.03595771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583424,"about_ca_system_score_gemma":0.009282592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003646874,"about_ca_topic_score_gemma":0.00535143,"domain_scores_codex":[0.9830186,0.01047444,0.002692094,0.001554339,0.001919847,0.000340647],"domain_scores_gemma":[0.8298329,0.1435771,0.01007837,0.009704046,0.005982234,0.0008253781],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001334992,0.00009024717,0.004107599,0.065414,0.01268948,0.0008357686,0.0008564772,0.007764571,0.002161636,0.02881756,0.7691334,0.1067942],"study_design_scores_gemma":[0.003531426,0.0003326838,0.00812944,0.01302579,0.01007274,0.001498163,0.0001838308,0.03084441,0.006372685,0.1024133,0.822885,0.0007103338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002596599,0.007162382,0.4214742,0.003559293,0.002039938,0.005065892,0.3249749,0.2230597,0.01006706],"genre_scores_gemma":[0.0253851,0.005120442,0.7900649,0.0024492,0.0006787347,0.04196959,0.05605177,0.07160431,0.00667602],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9734065,"threshold_uncertainty_score":0.4436601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9897344879680611,"score_gpt":0.7931787116963884,"score_spread":0.1965557762716726,"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."}}