{"id":"W4407241761","doi":"10.1016/j.jclinepi.2025.111716","title":"Using methods to extend inferences to specific target populations to improve the precision of subgroup analyses","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute on Aging; Vetenskapsrådet; Forté Foundation","keywords":"Statistics; Econometrics; Medicine; Mathematics; Computer science","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":[0.2226255,0.003427214,0.004101705,0.005925977,0.001391498,0.004784016,0.00405386,0.003469005,0.005477762],"category_scores_gemma":[0.5275142,0.001857824,0.01005638,0.004621053,0.002767995,0.00459003,0.005984603,0.007545209,0.00108564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845218,"about_ca_system_score_gemma":0.003856589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00422096,"about_ca_topic_score_gemma":0.003376768,"domain_scores_codex":[0.7926434,0.1801478,0.008497474,0.01103375,0.006877416,0.0008001887],"domain_scores_gemma":[0.4790416,0.4495453,0.01297313,0.05065027,0.007229166,0.0005604757],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002111911,0.0002691918,0.03876958,0.007449035,0.03824946,0.0008219222,0.003185559,0.1562437,0.004027753,0.1322971,0.01361989,0.6029549],"study_design_scores_gemma":[0.00178415,0.0008957725,0.009076767,0.002478824,0.01004754,0.0006155312,0.0004429625,0.4104648,0.006973336,0.5170006,0.03985689,0.000362945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002565771,0.0009343828,0.9934059,0.000672821,0.0002398343,0.0005602635,0.000359976,0.0006133491,0.0006476373],"genre_scores_gemma":[0.1382463,0.00124024,0.8525285,0.001587913,0.0005867519,0.003509061,0.0008666795,0.0005073645,0.0009273654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7773745,"threshold_uncertainty_score":0.9586412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8483721148779694,"score_gpt":0.7299655129983066,"score_spread":0.1184066018796628,"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."}}