{"id":"W2140084830","doi":"10.5555/944919.944951","title":"The representational power of discrete bayesian networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Western University","funders":"","keywords":"Bayesian network; Measure (data warehouse); Bayesian probability; Function (biology); Computer science; Node (physics); Variable-order Bayesian network; Mathematics; Artificial intelligence; Theoretical computer science; Bayesian inference; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009872222,0.000877309,0.001229017,0.002915835,0.001491282,0.007982174,0.002341162,0.002340673,0.004227764],"category_scores_gemma":[0.06466084,0.00114867,0.001431621,0.002657118,0.008288223,0.0197911,0.004277526,0.004929392,0.000561104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002872549,"about_ca_system_score_gemma":0.001254761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543414,"about_ca_topic_score_gemma":0.001099057,"domain_scores_codex":[0.9882499,0.006222417,0.0005963576,0.001702907,0.002725848,0.0005026294],"domain_scores_gemma":[0.9079093,0.0755358,0.005832615,0.005942119,0.003260975,0.001519143],"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":[0.00004670567,0.00001405982,0.0006101481,0.00008566354,0.00003151929,0.00004432424,0.000326874,0.02473699,0.0003558718,0.9604519,0.0004193197,0.01287658],"study_design_scores_gemma":[0.000008041186,0.000007715364,0.0001288871,0.00002407918,0.00001110863,0.00003432095,0.000031126,0.05746195,0.0002140266,0.9412246,0.0008427982,0.00001120392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05547188,0.001364574,0.9224209,0.005165744,0.00005129189,0.00006109569,0.0005045709,0.0001972614,0.01476262],"genre_scores_gemma":[0.8512275,0.002228629,0.1413957,0.000638718,0.0003689641,0.0002769466,0.0006621192,0.00009655444,0.003104823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009872222,"threshold_uncertainty_score":0.05220997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362208485082959,"score_gpt":0.2603228699506279,"score_spread":0.2467007850997983,"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."}}