{"id":"W4412082903","doi":"10.1093/ije/dyaf114","title":"Balancing scores and causal diagrams","year":2025,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Confounding; Propensity score matching; Medicine; Outcome (game theory); Statistics; Internal medicine; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.01665004,0.001260943,0.001061731,0.005693045,0.001658795,0.004358739,0.001561673,0.002281625,0.01231496],"category_scores_gemma":[0.084063,0.0007550191,0.001800697,0.00430008,0.005365871,0.006712121,0.003282024,0.002818889,0.00097633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204919,"about_ca_system_score_gemma":0.002127907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002301199,"about_ca_topic_score_gemma":0.001214167,"domain_scores_codex":[0.9834751,0.01138495,0.0007806776,0.001580112,0.002274695,0.0005044012],"domain_scores_gemma":[0.9225754,0.06596689,0.004592349,0.003232913,0.00279526,0.0008373089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002052414,0.00001238241,0.0006198733,0.00007893531,0.00002809529,0.00004739103,0.0001534408,0.008801212,0.00009194994,0.9738274,0.0008731334,0.01544567],"study_design_scores_gemma":[0.00001688966,0.000006939764,0.0001047839,0.00002869246,0.00001202196,0.00003880769,0.00001890483,0.01124828,0.00007874053,0.9850447,0.00339391,0.000007309106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009851901,0.0008708216,0.9771967,0.001560001,0.00009158644,0.00008830398,0.0002922198,0.0003054644,0.009743021],"genre_scores_gemma":[0.3945563,0.00212523,0.5956981,0.000666362,0.0003948098,0.0007227678,0.0008341488,0.0002319963,0.004770281],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01665004,"threshold_uncertainty_score":0.08805484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556345192934624,"score_gpt":0.4916669529493379,"score_spread":0.3360324336558755,"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."}}