{"id":"W3126812739","doi":"10.1002/env.2668","title":"Causal inference for quantile treatment effects","year":2021,"lang":"en","type":"article","venue":"Environmetrics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Quantile; Estimator; Causal inference; Inference; Statistics; Quantile regression; Econometrics; Population; Mathematics; Computer science; Demography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04009145,0.0007034725,0.001187555,0.002452581,0.0007086719,0.00146215,0.0020928,0.00166828,0.009750762],"category_scores_gemma":[0.1406153,0.000511896,0.001540178,0.002853552,0.002541122,0.002524429,0.002088186,0.002772746,0.0003853035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503919,"about_ca_system_score_gemma":0.001381492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004894183,"about_ca_topic_score_gemma":0.002997471,"domain_scores_codex":[0.9807287,0.01572389,0.0003802157,0.00151558,0.001206795,0.0004448849],"domain_scores_gemma":[0.8712373,0.1130081,0.006087932,0.006810173,0.002408052,0.0004484201],"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":[0.0002702434,0.0002083072,0.02306741,0.0002931845,0.0007002552,0.0002076247,0.0004848738,0.1856749,0.000591944,0.6472521,0.002845231,0.1384038],"study_design_scores_gemma":[0.0001115723,0.00007866784,0.004913574,0.00009145423,0.0001421686,0.0000534293,0.00009043454,0.5182795,0.0006267599,0.4731211,0.002467561,0.0000237037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02031437,0.000315734,0.9768688,0.0005450339,0.00006046663,0.0001071265,0.0002136491,0.0002186141,0.001356091],"genre_scores_gemma":[0.748085,0.0006616717,0.2461998,0.0005153114,0.0002182944,0.0006604203,0.0005194175,0.0000975225,0.003042522],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04009145,"threshold_uncertainty_score":0.2120264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1450335194588576,"score_gpt":0.4149983745832314,"score_spread":0.2699648551243738,"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."}}