{"id":"W3123549106","doi":"10.1097/ede.0000000000001315","title":"Incremental Propensity Score Effects for Time-fixed Exposures","year":2021,"lang":"en","type":"article","venue":"Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; University of California, Irvine; Northwestern University; University of Pittsburgh; University of Pennsylvania; National Institutes of Health; RTI International; Case Western Reserve University; National Science Foundation","keywords":"Propensity score matching; Causal inference; Medicine; Preeclampsia; Average treatment effect; Statistics; Odds ratio; Consistency (knowledge bases); Psychological intervention; Econometrics; Pregnancy; Demography; Mathematics; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05120098,0.001244261,0.001378747,0.003803956,0.0005412396,0.001988612,0.002679273,0.001550568,0.01427541],"category_scores_gemma":[0.1598381,0.000698228,0.00477955,0.00326522,0.001989191,0.0037901,0.002906017,0.004067882,0.000904274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400263,"about_ca_system_score_gemma":0.002246806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003549179,"about_ca_topic_score_gemma":0.003370134,"domain_scores_codex":[0.9774963,0.01676715,0.0007168024,0.002438584,0.002088156,0.0004931341],"domain_scores_gemma":[0.9136638,0.06835048,0.004548484,0.01112398,0.001925698,0.0003875588],"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":[0.00136041,0.0003505058,0.04660107,0.001282913,0.004402697,0.0004249299,0.0007856407,0.08905032,0.001226166,0.5526496,0.005800843,0.296065],"study_design_scores_gemma":[0.0006230271,0.001287743,0.03075629,0.0005363313,0.003077577,0.0004987334,0.000157511,0.2606068,0.002438263,0.6744174,0.02543358,0.0001668444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01288447,0.0004992433,0.9818813,0.0004313147,0.0001561738,0.0007987427,0.0007985374,0.0004275078,0.002122775],"genre_scores_gemma":[0.3793281,0.001057566,0.609632,0.0006942745,0.0003343226,0.003469542,0.001147568,0.0002295045,0.004107063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05120098,"threshold_uncertainty_score":0.2707798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3565244023728392,"score_gpt":0.4500213977903498,"score_spread":0.09349699541751066,"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."}}