{"id":"W4392019626","doi":"10.48550/arxiv.2402.13196","title":"Practical Kernel Tests of Conditional Independence","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Conditional independence; Independence (probability theory); Kernel (algebra); Computer science; Econometrics; Artificial intelligence; Statistics; Mathematics; Discrete mathematics","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":[0.02647598,0.00118437,0.001733047,0.002943763,0.001104047,0.002814746,0.003939853,0.001766961,0.004890207],"category_scores_gemma":[0.1824438,0.0007657234,0.00140158,0.002399378,0.004112768,0.004763815,0.005492553,0.004607632,0.001418242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333998,"about_ca_system_score_gemma":0.002426002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001028,"about_ca_topic_score_gemma":0.0008084113,"domain_scores_codex":[0.9734299,0.01333434,0.001663943,0.003712089,0.007043957,0.0008158312],"domain_scores_gemma":[0.8391897,0.1146293,0.007610927,0.02629294,0.01096001,0.001317207],"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":[0.0006599536,0.0004343869,0.02588335,0.0006981403,0.0005695208,0.0005646233,0.0006758978,0.1784726,0.01305757,0.4673972,0.005404939,0.3061818],"study_design_scores_gemma":[0.00007704435,0.0002080757,0.005326008,0.00006922003,0.00006074175,0.0003779741,0.00008341777,0.617481,0.008504374,0.3637642,0.003970771,0.00007723364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009558381,0.0001441325,0.9880993,0.0001524817,0.00002755316,0.00007663473,0.0001509893,0.0004127809,0.001377795],"genre_scores_gemma":[0.4668697,0.0002904501,0.5280579,0.0003598405,0.0002358531,0.0007258033,0.001364569,0.0004706931,0.001625265],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02647598,"threshold_uncertainty_score":0.1400201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2700438346204136,"score_gpt":0.3316098985148516,"score_spread":0.06156606389443792,"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."}}