{"id":"W2100015718","doi":"","title":"Quantifying and Visualizing Attribute Interactions: An Approach Based on Entropy","year":2003,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Entropy (arrow of time); Visualization; Independence (probability theory); Interaction information; Artificial intelligence; Machine learning; Data science; Theoretical computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003221135,0.0001034902,0.0001006634,0.00008852703,0.0001524793,0.0002836548,0.0002042014,0.00003288985,0.0000125179],"category_scores_gemma":[0.00005747001,0.00009272459,0.00002493961,0.0001823703,0.00001785942,0.0004448214,0.00002862243,0.0001305546,0.00001462559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001941405,"about_ca_system_score_gemma":0.00003621369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001882415,"about_ca_topic_score_gemma":0.000002502683,"domain_scores_codex":[0.9990424,0.0001143842,0.0001431727,0.0003630135,0.0001422189,0.0001948],"domain_scores_gemma":[0.9994038,0.00006977489,0.00003659672,0.0003245225,0.00005916547,0.0001061551],"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":[0.000005281115,0.0002234478,0.00120577,0.00001532203,0.000007325556,0.000003887728,0.0002636223,0.002451797,0.00189126,0.9784552,0.0001416377,0.01533545],"study_design_scores_gemma":[0.0001730956,0.00007570005,0.0002568158,0.00001884019,0.000002604892,0.00001191117,0.00008175446,0.9955268,0.002168578,0.0009525063,0.0005867471,0.0001446635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01465645,0.00002685827,0.9813348,0.0001801111,0.0001241064,0.00005662567,4.373145e-7,0.0001695456,0.003451065],"genre_scores_gemma":[0.7848783,0.000003860152,0.2142697,0.0007741026,0.00001217727,0.000006373751,0.000001900013,0.000004695752,0.00004884126],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.993075,"threshold_uncertainty_score":0.3781199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1153136224944906,"score_gpt":0.3423832344374022,"score_spread":0.2270696119429116,"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."}}