{"id":"W4415731461","doi":"10.1186/s13750-025-00374-5","title":"Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI and the Collaboration for Environmental Evidence 2025","year":2025,"lang":"en","type":"editorial","venue":"Environmental Evidence","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Automation; Rigour; Evidence-based practice; Empirical evidence; Scientific evidence; Evidence-based policy; Publishing; Best evidence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1909921,0.005192749,0.01193431,0.0170248,0.007496387,0.02691924,0.01341872,0.05190416,0.0218599],"category_scores_gemma":[0.4768162,0.00408125,0.01037488,0.01254203,0.00949345,0.01209695,0.007481778,0.04833335,0.02067783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.020335,"about_ca_system_score_gemma":0.05235381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009174124,"about_ca_topic_score_gemma":0.01415605,"domain_scores_codex":[0.8039429,0.06548889,0.04301735,0.009980898,0.07350135,0.004068664],"domain_scores_gemma":[0.4617478,0.3077075,0.04127611,0.01451643,0.1539064,0.02084559],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007586792,0.00001437528,0.00002120087,0.004873835,0.0001104203,0.00004772921,0.00009863885,0.00005092414,0.00003612888,0.001753304,0.9809215,0.01199611],"study_design_scores_gemma":[0.0004587322,0.00005204344,0.000165477,0.02808484,0.0004413975,0.0002255829,0.0000849089,0.0003301406,0.0001816848,0.007064805,0.9628049,0.0001053934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003044305,0.02813565,0.00137387,0.1453563,0.8215705,0.0006463717,0.0003250311,0.0001935221,0.002368281],"genre_scores_gemma":[0.001239212,0.04138651,0.00769959,0.2195329,0.7127766,0.00290435,0.0004928376,0.0006060515,0.0133619],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.8090079,"threshold_uncertainty_score":0.9976508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2888428824494103,"score_gpt":0.492541218700256,"score_spread":0.2036983362508457,"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."}}