{"id":"W2147972757","doi":"10.1016/j.cct.2006.11.007","title":"Mega-trials vs. meta-analysis: Precision vs. heterogeneity?","year":2006,"lang":"en","type":"article","venue":"Contemporary Clinical Trials","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; McGill University","funders":"","keywords":"Medicine; Meta-analysis; Mega-; 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":["metaresearch","metaepi_narrow","metaepi_broad","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad","insufficient_payload"],"category_scores_codex":[0.883303,0.001160288,0.07119457,0.001532531,0.0003271275,0.003058153,0.005148119,0.000799041,0.04610698],"category_scores_gemma":[0.6786039,0.000491809,0.10153,0.005040516,0.0002877943,0.000906207,0.0005621072,0.0006349148,0.006416476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003700677,"about_ca_system_score_gemma":0.0003947256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009365576,"about_ca_topic_score_gemma":0.00008849428,"domain_scores_codex":[0.2944144,0.5200374,0.1629305,0.005763477,0.01592176,0.0009324253],"domain_scores_gemma":[0.269214,0.5940403,0.1060641,0.02362313,0.005523902,0.001534592],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005611515,0.0005735023,0.03170291,0.00002234466,0.2250002,0.00004264232,0.00002203375,0.0002637768,0.00005194452,0.001759497,0.7342014,0.005798512],"study_design_scores_gemma":[0.002333846,0.000312613,0.008937128,0.0000135167,0.3349915,0.000004314554,0.00004394024,0.001361074,0.0002496843,0.03892937,0.612052,0.0007710535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1524951,0.2407655,0.3586223,0.0590518,0.0162334,0.04046216,0.003739999,0.0004657414,0.1281639],"genre_scores_gemma":[0.9562063,0.000167281,0.005168587,0.00266126,0.001912367,0.0003222954,0.0001567972,0.00005115766,0.033354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8037111,"threshold_uncertainty_score":0.9997534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9705260994818611,"score_gpt":0.6792291251831827,"score_spread":0.2912969742986784,"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."}}