{"id":"W4408502051","doi":"10.1038/s41592-025-02629-y","title":"Propensity score weighting","year":2025,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Propensity score matching; Weighting; Computational biology; Computer science; Biology; Internal medicine; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001529965,0.0001524698,0.0002944202,0.0001144106,0.00009728993,0.000025604,0.000257496,0.0003912034,0.00004621585],"category_scores_gemma":[0.00719519,0.0001189141,0.00006818653,0.000412609,0.00005304113,0.0001056874,0.0001684749,0.001053897,0.000002943427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007265184,"about_ca_system_score_gemma":0.00005429501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002773478,"about_ca_topic_score_gemma":0.000005170469,"domain_scores_codex":[0.9988528,0.0003187555,0.0002216265,0.0002624961,0.0001312775,0.0002130717],"domain_scores_gemma":[0.9976949,0.001538459,0.00009460935,0.00046753,0.0001696612,0.00003486042],"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":[0.00001257878,0.00003379729,0.0008785852,0.0001125948,0.00002448872,0.000006158967,0.00005681324,1.876494e-7,0.01882023,0.8306648,0.005391043,0.1439988],"study_design_scores_gemma":[0.00006540293,0.00001214313,0.0004576514,0.0001097265,0.00002163936,0.000002988633,0.00000948148,0.00005212727,0.2456292,0.7393268,0.01420983,0.0001030001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01116789,0.0004466292,0.9231678,0.0004127134,0.0003367337,0.0003462339,0.000001475791,0.0006713517,0.06344915],"genre_scores_gemma":[0.03680013,0.0000099086,0.9597496,0.0005934931,0.00005872436,0.000026578,0.000001357905,0.00001664644,0.002743543],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.226809,"threshold_uncertainty_score":0.8613834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2518400596419759,"score_gpt":0.5445541503713819,"score_spread":0.292714090729406,"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."}}