{"id":"W1514307747","doi":"10.1186/1471-2288-3-13","title":"Identifying null meta-analyses that are ripe for updating","year":2003,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; CHEO Research Institute","keywords":"Meta-analysis; Computer science; Commit; Systematic review; MEDLINE; Data science; Statistics; Data mining; Medicine; Mathematics; Pathology","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","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.8397874,0.0004380614,0.008875151,0.001441346,0.0006496849,0.000904398,0.004468641,0.0004537805,0.1094167],"category_scores_gemma":[0.9522339,0.0001956677,0.005854082,0.003059426,0.0005969958,0.0002600228,0.0005059296,0.001005567,0.002768248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000691829,"about_ca_system_score_gemma":0.0008992426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006600832,"about_ca_topic_score_gemma":0.0005891143,"domain_scores_codex":[0.3396578,0.6032431,0.01539651,0.00363358,0.03592325,0.002145777],"domain_scores_gemma":[0.1200023,0.8559108,0.006879085,0.00844207,0.006865939,0.001899812],"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":[0.0001625107,0.0004234381,0.04201536,0.001387188,0.01649516,0.0001691517,0.00163528,0.000124489,0.002484051,0.2546061,0.6113119,0.06918538],"study_design_scores_gemma":[0.001038801,0.0001814041,0.002005646,0.00009536424,0.005239191,0.0001395704,0.01814223,0.01303365,0.0027716,0.3804692,0.5762779,0.00060548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004812109,0.006819271,0.9751645,0.001905922,0.0005738535,0.001214204,0.00001576502,0.00001231243,0.009482013],"genre_scores_gemma":[0.09152129,0.0001642563,0.8822855,0.0009768503,0.0003251084,0.0008142457,0.00001220044,0.00004536362,0.02385521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2526678,"threshold_uncertainty_score":0.9980082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9965072427985022,"score_gpt":0.7976498263949172,"score_spread":0.198857416403585,"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."}}