{"id":"W2970689096","doi":"10.32614/rj-2019-029","title":"ipwErrorY: An R Package for Estimation of Average Treatment Effect with Misclassified Binary Outcome","year":2019,"lang":"en","type":"article","venue":"The R Journal","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"R package; Outcome (game theory); Statistics; Estimation; Binary number; Econometrics; Mathematics; Computer science; Economics; Arithmetic; Mathematical economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007201898,0.0001558402,0.0003012026,0.00005739531,0.00009025097,0.00001884767,0.0001713208,0.00004818381,0.00007010842],"category_scores_gemma":[0.00009980337,0.00007387425,0.00007476724,0.00005793208,0.00004247867,0.0002001196,0.00001450887,0.0001431053,0.000006978951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116939,"about_ca_system_score_gemma":0.00003421597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003576248,"about_ca_topic_score_gemma":0.000004382721,"domain_scores_codex":[0.9991497,0.0001547547,0.0002670879,0.00008607217,0.0001729738,0.0001693568],"domain_scores_gemma":[0.9985824,0.000628472,0.0003236776,0.0003515529,0.00006112742,0.00005281147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01581684,0.004378599,0.06762743,0.00287726,0.002297131,0.000162463,0.02473146,0.02216192,0.5322436,0.1784038,0.002656189,0.1466432],"study_design_scores_gemma":[0.01061276,0.04598211,0.008654716,0.0009302826,0.001099034,0.0009739693,0.001041301,0.0475223,0.4314014,0.4503157,0.0003885312,0.001077939],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8203621,0.00001430692,0.1784222,0.00008663712,0.00004577303,0.0006589292,0.00001074137,0.00005733178,0.0003420153],"genre_scores_gemma":[0.9578777,0.000008229432,0.04158721,0.00001668974,0.0000328483,0.00002357682,0.000005314021,0.00002836312,0.0004200733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2719118,"threshold_uncertainty_score":0.3012504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1784298773642214,"score_gpt":0.4264978119323045,"score_spread":0.248067934568083,"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."}}