{"id":"W2072328053","doi":"10.1016/j.compbiomed.2012.11.009","title":"Statistical pitfalls in the comparison of multivariate causality measures for effective causality","year":2012,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Deutsche Forschungsgemeinschaft","keywords":"Causality (physics); Multivariate statistics; Econometrics; Multivariate analysis; Computer science; Statistics; Psychology; Machine learning; Mathematics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.001051602,0.00008090334,0.0003122234,0.00005197514,0.00001957154,0.000001346426,0.00005799349,0.00008152534,0.000001353569],"category_scores_gemma":[0.0001445194,0.00005052998,0.00001264269,0.00006531286,0.0001321148,0.00001794685,0.000008817716,0.0001288133,2.996367e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002328452,"about_ca_system_score_gemma":0.000003046218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002826102,"about_ca_topic_score_gemma":0.0001733808,"domain_scores_codex":[0.999208,0.0002553226,0.0002487922,0.00008543318,0.00004111333,0.0001613771],"domain_scores_gemma":[0.9987805,0.001060105,0.00002980111,0.00008123941,0.00001445831,0.00003392217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004477388,0.0003123406,0.7776868,0.0006127048,0.000213398,0.000003048606,0.01940236,0.001149088,0.01812739,0.06125946,0.001956016,0.1188297],"study_design_scores_gemma":[0.003199449,0.0003876171,0.9186177,0.00010832,0.00002743624,0.000007703095,0.0005822771,0.0702868,0.0003191162,0.001383979,0.004948955,0.0001306781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6896726,0.002379213,0.3050187,0.0002491352,0.001622522,0.0007724262,0.00001492492,0.00003416128,0.0002363611],"genre_scores_gemma":[0.9994144,0.00001217191,0.0003079742,0.0000763242,0.0001261711,0.00005046479,0.00000822501,0.000003445407,8.132624e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3097418,"threshold_uncertainty_score":0.2060553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02776009434675636,"score_gpt":0.3584278941388979,"score_spread":0.3306677997921416,"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."}}