{"id":"W2903123620","doi":"10.3386/w25307","title":"Treatment Effects with Multiple Outcomes","year":2018,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; University of Wisconsin-Madison; University of Chicago; Università degli studi di Bergamo; Robert Wood Johnson Foundation","keywords":"Econometrics; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05280574,0.001323781,0.002974655,0.003161952,0.001198201,0.004960223,0.003647756,0.002940973,0.01470973],"category_scores_gemma":[0.1867765,0.001174813,0.002828519,0.003789516,0.004791214,0.008282578,0.004962846,0.007596905,0.001170282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608667,"about_ca_system_score_gemma":0.002456032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073247,"about_ca_topic_score_gemma":0.0009946143,"domain_scores_codex":[0.9453264,0.04025787,0.001856021,0.006048432,0.005705597,0.0008057411],"domain_scores_gemma":[0.8308316,0.1404465,0.009108875,0.01617422,0.002755606,0.0006831461],"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":[0.00017891,0.000122864,0.004731996,0.00063382,0.0004346218,0.0001305388,0.0005351374,0.01360599,0.0002100856,0.8828052,0.001603752,0.09500714],"study_design_scores_gemma":[0.00009400029,0.0001815515,0.002127618,0.0002999252,0.0001967517,0.0001519111,0.0001346587,0.02826433,0.0003984822,0.9607248,0.0073784,0.0000475977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00669256,0.001230078,0.9828116,0.001969712,0.0001845883,0.0005382521,0.0003358981,0.0001503986,0.006086838],"genre_scores_gemma":[0.3363446,0.002232982,0.649497,0.00187999,0.0006167605,0.004845119,0.0005034582,0.0001143644,0.003965731],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05280574,"threshold_uncertainty_score":0.2792668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6441062607732273,"score_gpt":0.6258726786431317,"score_spread":0.01823358213009563,"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."}}