{"id":"W1966844935","doi":"10.2147/clep.s29470","title":"Stability of additive treatment effects in multiple treatment comparison meta-analysis: a simulation study","year":2012,"lang":"en","type":"article","venue":"Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Ottawa","funders":"","keywords":"Medicine; Meta-analysis; Stability (learning theory); Statistics; Internal medicine; Computer science; Mathematics; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad"],"category_scores_codex":[0.2971288,0.0004685118,0.027569,0.0004365448,0.00006487703,0.00002217323,0.0006570306,0.0002504107,0.004384591],"category_scores_gemma":[0.3819275,0.0001903916,0.01320433,0.001587332,0.0002166834,0.0001437951,0.0001008352,0.0001780485,0.0006098389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001570865,"about_ca_system_score_gemma":0.00005101715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003906981,"about_ca_topic_score_gemma":0.001908158,"domain_scores_codex":[0.7412486,0.2197505,0.03520205,0.001822875,0.001363381,0.0006125574],"domain_scores_gemma":[0.4558837,0.5239084,0.01410297,0.005034186,0.0006465475,0.0004241936],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005880212,0.005305972,0.9213491,0.000005891706,0.05427356,0.000001040284,0.0008836486,0.009388067,4.370992e-7,0.000125476,0.0001246322,0.008483378],"study_design_scores_gemma":[0.0008452571,0.001410896,0.8013371,0.000001152914,0.09191245,1.550502e-7,0.0007089925,0.1011944,0.000005300118,0.0006828964,0.001781482,0.000119923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697591,0.003026593,0.02350592,0.0002550792,0.0002406262,0.002933424,0.00005964942,0.000006042394,0.0002135343],"genre_scores_gemma":[0.9961085,0.00001964059,0.003014923,0.0001448646,0.00007974201,0.0004127643,0.00003087525,0.000007536893,0.000181194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3041579,"threshold_uncertainty_score":0.9966782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9660057181583439,"score_gpt":0.7021483838145138,"score_spread":0.2638573343438301,"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."}}