{"id":"W4328050658","doi":"10.1093/jrsssb/qkad008","title":"Causal inference on distribution functions","year":2023,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series B (Statistical Methodology)","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Causal inference; Euclidean space; Inference; Estimator; Space (punctuation); Contrast (vision); National Health and Nutrition Examination Survey; Econometrics; Computer science; Distribution (mathematics); Mathematics; Artificial intelligence; Statistics; Medicine; Pure mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002850256,0.0003286239,0.0007387385,0.00004399261,0.0004248488,0.00006312469,0.0005088666,0.0002875687,0.0005009495],"category_scores_gemma":[0.04581387,0.0002149326,0.0003008694,0.0005487316,0.001021316,0.0001413635,0.0002604758,0.001317043,0.00006741592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002851472,"about_ca_system_score_gemma":0.000173757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001781532,"about_ca_topic_score_gemma":0.000009307983,"domain_scores_codex":[0.9959676,0.001321592,0.001031318,0.0003081799,0.0007521103,0.0006191888],"domain_scores_gemma":[0.9746665,0.02370462,0.0005485118,0.0003909322,0.0004171219,0.0002723488],"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":[0.0002395572,0.0001173442,0.0002463392,0.00007309655,0.000137367,0.0000457373,0.0001586551,0.0002674087,0.0002012552,0.8341908,0.157953,0.006369348],"study_design_scores_gemma":[0.0003626553,0.0009791646,0.01045009,0.00008860158,0.0002244188,0.00005381155,0.0003871177,0.001933681,0.0005786441,0.9770741,0.007590907,0.0002767561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004328345,0.00001160574,0.9907174,0.002051279,0.0008959421,0.0002348429,0.001218353,0.0001959701,0.0003463143],"genre_scores_gemma":[0.1070174,0.00005083899,0.8905619,0.0004325253,0.0003893752,0.00003479614,0.00007278821,0.00005749422,0.001382943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1503621,"threshold_uncertainty_score":0.9622236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2592960580704786,"score_gpt":0.4612209985780685,"score_spread":0.2019249405075899,"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."}}