{"id":"W2425980697","doi":"10.1111/biom.12468","title":"Model Assessment in Dynamic Treatment Regimen Estimation via Double Robustness","year":2016,"lang":"en","type":"article","venue":"Biometrics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences; University of California, Los Angeles; University of Pittsburgh; Northwestern University","keywords":"Robustness (evolution); Regimen; Mathematics; Computer science; Statistics; Medicine; Econometrics; Internal medicine; Biology","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":[0.02766347,0.001220603,0.001925923,0.001938202,0.0005459459,0.002293819,0.002076227,0.002129807,0.002532802],"category_scores_gemma":[0.1011735,0.000896838,0.002392283,0.001121929,0.002538514,0.002523183,0.003304726,0.002707472,0.0002665945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550225,"about_ca_system_score_gemma":0.001719209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003777699,"about_ca_topic_score_gemma":0.001602305,"domain_scores_codex":[0.9868327,0.01035361,0.0004199131,0.001209661,0.0008289103,0.0003552685],"domain_scores_gemma":[0.9087245,0.08163356,0.004388148,0.003375133,0.001432369,0.0004462804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001969307,0.00005769352,0.004393041,0.000170371,0.0003492586,0.000288105,0.0001930436,0.7748587,0.0006499013,0.184696,0.0008989635,0.03324806],"study_design_scores_gemma":[0.0000288906,0.00006088533,0.0004820736,0.00002739949,0.00003693819,0.00004246461,0.00002135153,0.9076804,0.0003052095,0.0906681,0.0006231272,0.00002329338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01240911,0.0003069904,0.9853433,0.0005569998,0.00002541357,0.00006014689,0.00009894883,0.000124825,0.001074338],"genre_scores_gemma":[0.7393029,0.0007007295,0.2563095,0.0004110564,0.0001459479,0.0004777689,0.0004462833,0.00014852,0.002057387],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02766347,"threshold_uncertainty_score":0.1463001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2010359547341997,"score_gpt":0.4506263431265718,"score_spread":0.2495903883923721,"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."}}