{"id":"W1972895961","doi":"10.1111/j.1524-4733.2010.00749.x","title":"Contemporary Challenges in Deriving Summary Estimates of Comparative Effectiveness Using Meta-Analysis","year":2010,"lang":"en","type":"article","venue":"Value in Health","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Meta-analysis; Econometrics; Data science; Computer science; Economics; Medicine; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001012929,0.0001292733,0.0008436432,0.0005916219,0.00001982735,0.000004937952,0.0001212928,0.00007520227,0.000008364308],"category_scores_gemma":[0.00001300587,0.000123754,0.0001178127,0.0004792882,0.00003944083,0.0001025153,0.00004258993,0.0002460437,6.036875e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000635792,"about_ca_system_score_gemma":0.00003520913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001510414,"about_ca_topic_score_gemma":0.0007860695,"domain_scores_codex":[0.999046,0.0001446434,0.0003579143,0.0001740025,0.00008888644,0.0001886007],"domain_scores_gemma":[0.9993286,0.0003336558,0.00008218783,0.0002156651,0.00001287559,0.00002702957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000152414,0.0001811691,0.07040498,0.001628547,0.0133788,0.00001722845,0.001442034,0.8994164,0.003190539,0.009480164,0.0000203475,0.0008245488],"study_design_scores_gemma":[0.0006573458,0.00009601362,0.1697588,0.0001278222,0.003144925,0.000001648322,0.0008962855,0.8160417,0.00529366,0.003495111,0.0001223942,0.0003643481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790215,0.01509789,0.004290751,0.0001866913,0.0001319763,0.0004258278,0.000005296472,0.000122836,0.000717247],"genre_scores_gemma":[0.9936528,0.0002039062,0.006080563,0.000005736569,0.000004492426,0.00003735046,0.00000383706,0.00001047937,8.102807e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09935378,"threshold_uncertainty_score":0.504654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2589534241723927,"score_gpt":0.3735611397838552,"score_spread":0.1146077156114625,"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."}}