{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004314276,0.001256513,0.001687735,0.01035038,0.001249326,0.00404846,0.001875684,0.00132304,0.002098822],"category_scores_gemma":[0.01552502,0.0009124628,0.001637318,0.006700727,0.002870716,0.008385332,0.005063701,0.002128874,0.0003575309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322652,"about_ca_system_score_gemma":0.001255187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002114297,"about_ca_topic_score_gemma":0.00167256,"domain_scores_codex":[0.9967445,0.001284707,0.0002951128,0.0004886796,0.001028776,0.0001581468],"domain_scores_gemma":[0.9914721,0.005766066,0.0008600197,0.001007851,0.0005972667,0.0002968271],"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":[0.0002869658,0.0001669488,0.008486937,0.0005979762,0.0005345359,0.0004295063,0.002827765,0.161597,0.01690917,0.4506568,0.006302605,0.3512037],"study_design_scores_gemma":[0.00002300697,0.00005144825,0.002513078,0.0000653203,0.00009335551,0.0002601871,0.0002624765,0.4819209,0.00401098,0.5037767,0.006930409,0.0000921063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007010886,0.0005765897,0.9898308,0.0003070697,0.00003089185,0.00005932562,0.0002026185,0.0005173332,0.001464512],"genre_scores_gemma":[0.2876435,0.001052422,0.7083151,0.0001700388,0.0002213076,0.0003542409,0.0005792608,0.0003210778,0.001343069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01035038,"threshold_uncertainty_score":0.02281636,"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."}}