{"id":"W1517356334","doi":"","title":"Lifted aggregation in directed first-order probabilistic models","year":2009,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Parameterized complexity; Graphical model; Inference; Variable elimination; Probabilistic logic; Computer science; Random variable; Theoretical computer science; Variable (mathematics); Algorithm; Domain (mathematical analysis); Time complexity; Mathematics; Artificial intelligence; Statistics","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":[0.004426077,0.0008082522,0.00141738,0.001915528,0.001083842,0.002609834,0.001881468,0.001273041,0.002330901],"category_scores_gemma":[0.01972318,0.001097926,0.003263881,0.001989848,0.001968925,0.00569493,0.003809568,0.003118482,0.0004949704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002564331,"about_ca_system_score_gemma":0.002149184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01589412,"about_ca_topic_score_gemma":0.01615445,"domain_scores_codex":[0.9958111,0.00141464,0.0002840318,0.0008721055,0.00124723,0.0003707636],"domain_scores_gemma":[0.9888818,0.007330489,0.0005994962,0.002103321,0.000836349,0.0002486394],"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":[0.00009439029,0.0000579553,0.001739847,0.0001546502,0.0001179625,0.0005414961,0.0006319422,0.2377465,0.001679386,0.6583105,0.003045549,0.09587975],"study_design_scores_gemma":[0.000008211564,0.000009619408,0.0001388282,0.00001618368,0.00002252484,0.00009033776,0.00003270357,0.5108862,0.001045967,0.48553,0.002202361,0.00001702282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006904975,0.0000940863,0.991298,0.000166093,0.00001485578,0.00002436902,0.0001442106,0.0005928377,0.0007606251],"genre_scores_gemma":[0.2408032,0.0003256119,0.7557328,0.0002305165,0.00007155666,0.0001179849,0.0007320074,0.0001842129,0.001802087],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01589412,"threshold_uncertainty_score":0.03160322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542975757458312,"score_gpt":0.2434944351202314,"score_spread":0.2180646775456482,"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."}}