{"id":"W4311079932","doi":"10.1145/3575637.3575645","title":"Finding Multidimensional Simpson's Paradox","year":2022,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Burnaby Hospital","funders":"","keywords":"Computer science; Curse of dimensionality; Multidimensional data; Data science; Phenomenon; Data mining; Machine learning; Epistemology","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":[0.007770575,0.0006511525,0.002227119,0.004647752,0.00303803,0.004691786,0.001790905,0.001941205,0.002969849],"category_scores_gemma":[0.07232878,0.0006749765,0.00142313,0.00434157,0.004138089,0.008352136,0.004317204,0.00368032,0.0002700079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001755473,"about_ca_system_score_gemma":0.001618492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140653,"about_ca_topic_score_gemma":0.0009145209,"domain_scores_codex":[0.9941192,0.001885486,0.0005717825,0.00144619,0.001596989,0.0003803752],"domain_scores_gemma":[0.9500843,0.03647042,0.005053728,0.004186904,0.002745613,0.001459058],"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":[0.0003250371,0.0001528306,0.05793236,0.0007496676,0.0004233066,0.001973165,0.002978988,0.01959277,0.002734529,0.7993779,0.01272624,0.1010333],"study_design_scores_gemma":[0.00004030241,0.00003330301,0.003905992,0.00007644729,0.00003841929,0.0008158768,0.0006440897,0.06881768,0.0007424405,0.9223539,0.002459259,0.00007230094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4857565,0.002958874,0.4887296,0.006838712,0.0005146546,0.00016499,0.001006474,0.0003984214,0.0136317],"genre_scores_gemma":[0.8972443,0.0008312762,0.09845445,0.0009243557,0.0002959352,0.000154304,0.0006311869,0.00007477406,0.001389375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007770575,"threshold_uncertainty_score":0.0410952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358511030504669,"score_gpt":0.2740753601844798,"score_spread":0.2304902498794331,"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."}}