{"id":"W7159672277","doi":"10.1184/r1/32136958","title":"AI in Evidence Synthesis and Meta-analysis: An overview of current research, tools and practices","year":2025,"lang":"","type":"other","venue":"KiltHub Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Current (fluid); Field (mathematics); Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2851214,0.003184993,0.00934959,0.03177022,0.001353679,0.01235505,0.004738386,0.00509164,0.01371093],"category_scores_gemma":[0.392063,0.0040139,0.009733057,0.03756682,0.003369297,0.008316955,0.007521227,0.007844558,0.003784494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01212019,"about_ca_system_score_gemma":0.03030325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008031,"about_ca_topic_score_gemma":0.02819788,"domain_scores_codex":[0.7454094,0.1884772,0.04268906,0.005278502,0.01707559,0.001070321],"domain_scores_gemma":[0.3907748,0.556667,0.01769528,0.01168527,0.02095152,0.002226075],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005201622,0.00008624214,0.0005428007,0.2491593,0.006677658,0.00008630904,0.0008899313,0.001436615,0.0003673916,0.01047954,0.03373487,0.6960192],"study_design_scores_gemma":[0.0009260419,0.0003889663,0.002801107,0.5897185,0.01954008,0.0005015279,0.0007067374,0.003542458,0.001091443,0.07075915,0.3096841,0.0003398054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002113524,0.9556686,0.02629954,0.01263336,0.0009363065,0.0008721066,0.0007478435,0.0003870136,0.002243878],"genre_scores_gemma":[0.005200574,0.8246931,0.1594065,0.003797441,0.001323326,0.003682329,0.0007380155,0.0003548718,0.000804009],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7148786,"threshold_uncertainty_score":0.8815726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5379687551267119,"score_gpt":0.5374695227994063,"score_spread":0.0004992323273056432,"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."}}