{"id":"W3174694451","doi":"","title":"Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test.","year":2020,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Counterfactual thinking; Kolmogorov–Smirnov test; Test (biology); Interpretation (philosophy); Computer science; Artificial intelligence; Natural language processing; Econometrics; Statistics; Statistical hypothesis testing; Mathematics; Psychology; Programming language; Geology; Social psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001067644,0.0002029563,0.0001911275,0.0001222877,0.0001760149,0.0001369043,0.001116065,0.0000772003,0.00009136332],"category_scores_gemma":[0.0001505648,0.0002300579,0.00009066187,0.000935395,0.00009753615,0.001004967,0.0002878373,0.000230429,0.001854457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235859,"about_ca_system_score_gemma":0.000071434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005390079,"about_ca_topic_score_gemma":0.00002028565,"domain_scores_codex":[0.9985312,0.00007901819,0.0001858201,0.000734687,0.000121815,0.0003474126],"domain_scores_gemma":[0.998641,0.000360021,0.0001091731,0.0005133759,0.0001553791,0.0002211155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002893268,0.0004113962,0.003696269,0.00005190769,0.00007702444,0.0006972823,0.005599602,0.3574146,0.00707692,0.612491,0.004454138,0.007740569],"study_design_scores_gemma":[0.0002128945,0.0005190964,0.0002741569,0.00002563547,0.0000109994,0.000003327056,0.000417808,0.9752733,0.01479418,0.005716116,0.002466913,0.0002855965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2131462,0.0000107869,0.7778568,0.0008012474,0.0001911972,0.0001743347,0.000004598871,0.0003566018,0.007458252],"genre_scores_gemma":[0.9967875,0.00001411208,0.0007718905,0.001911961,0.00005144513,5.118869e-7,0.00000282312,0.00001355122,0.0004461991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7836413,"threshold_uncertainty_score":0.9989227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09896852798624382,"score_gpt":0.1939535921822699,"score_spread":0.09498506419602605,"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."}}