{"id":"W2159760767","doi":"10.1186/2046-4053-1-18","title":"An empirical study using permutation-based resampling in meta-regression","year":2012,"lang":"en","type":"article","venue":"Systematic Reviews","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Resampling; Jadad scale; Sample size determination; Statistics; Meta-regression; Covariate; Meta-analysis; Regression analysis; Randomized controlled trial; Regression; Permutation (music); Linear regression; Mathematics; 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":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.4225371,0.0007407256,0.01521163,0.0008963018,0.0002280165,0.0008782602,0.001985023,0.0001257407,0.004351457],"category_scores_gemma":[0.08400384,0.0002511754,0.003537733,0.002894812,0.00003554516,0.0008531599,0.00008535064,0.0002442126,0.003298716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433252,"about_ca_system_score_gemma":0.00008867415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003393614,"about_ca_topic_score_gemma":0.00005263912,"domain_scores_codex":[0.8201975,0.1369389,0.0325483,0.001527284,0.008075542,0.0007125084],"domain_scores_gemma":[0.9706805,0.009122947,0.01215979,0.006880622,0.0007491591,0.0004070173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001571284,0.002673739,0.9207479,0.04310805,0.001816172,0.0000230574,0.01995225,0.003811426,0.0002816688,0.0002487686,0.005172262,0.002149009],"study_design_scores_gemma":[0.003154436,0.0007426415,0.08478826,0.02600552,0.04042884,0.0002038323,0.05553601,0.7355847,0.0000680723,0.002504424,0.04665005,0.00433325],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7798119,0.04033746,0.1410379,0.0001981499,0.001048047,0.03646109,0.000009237657,0.0000286956,0.00106746],"genre_scores_gemma":[0.9837804,0.00001135153,0.01397059,0.000250214,0.0001366568,0.001442163,0.000005890685,0.00003040975,0.0003723352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8359596,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9113259920456145,"score_gpt":0.6456323463689181,"score_spread":0.2656936456766964,"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."}}