{"id":"W4415779881","doi":"10.1017/rsm.2025.10029","title":"How to conduct an individual participant data meta-analysis in response to an emerging pathogen: Lessons learned from Zika and COVID-19","year":2025,"lang":"en","type":"article","venue":"Research Synthesis Methods","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; Jewish General Hospital","funders":"H2020 Health; Institute of Genetics","keywords":"Pooling; Spurious relationship; Missing data; Data collection; Key (lock); Zika virus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4266586,0.003366155,0.008619349,0.007059519,0.00151232,0.01000251,0.006506399,0.007819002,0.00752384],"category_scores_gemma":[0.6875941,0.003144213,0.01947832,0.006411396,0.003246547,0.01083897,0.006666951,0.0151184,0.001781018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007226193,"about_ca_system_score_gemma":0.02566397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029513,"about_ca_topic_score_gemma":0.02171458,"domain_scores_codex":[0.5197307,0.4210121,0.03448616,0.007939039,0.01567426,0.00115776],"domain_scores_gemma":[0.2528983,0.6790053,0.01158955,0.02497685,0.02950164,0.002028426],"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":[0.002137859,0.0001145489,0.004485631,0.163549,0.05794457,0.0005059782,0.004932347,0.01276207,0.00124606,0.05521842,0.1411972,0.5559064],"study_design_scores_gemma":[0.003826775,0.0007216983,0.004430589,0.1769682,0.03928447,0.0005979179,0.00150969,0.01551154,0.00252047,0.3500901,0.4037895,0.0007490964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002762173,0.2112954,0.5278437,0.2204324,0.01271424,0.0112427,0.00632864,0.002309285,0.005071505],"genre_scores_gemma":[0.02798586,0.05800908,0.8490358,0.03727047,0.002834254,0.0212676,0.001484048,0.0009818104,0.001131143],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5733414,"threshold_uncertainty_score":0.707032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9891121810702769,"score_gpt":0.7652660671837509,"score_spread":0.223846113886526,"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."}}