{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001454403,0.0001039893,0.0001125489,0.00009690702,0.00004863708,0.0001010274,0.0003723674,0.00006346789,0.00001177965],"category_scores_gemma":[0.00006497356,0.00009131836,0.00002083629,0.0006863165,0.00001307287,0.0004800169,0.00003630442,0.0001052684,0.00002588433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003770947,"about_ca_system_score_gemma":0.00005736239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009750538,"about_ca_topic_score_gemma":0.0001341824,"domain_scores_codex":[0.9990749,0.00003508434,0.0002029785,0.0003121357,0.0001590294,0.0002158172],"domain_scores_gemma":[0.9994244,0.00004154745,0.00003485983,0.0003244077,0.0001136135,0.00006115639],"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":[0.00001255363,0.0003135802,0.0002206893,0.00001466392,0.000005086751,0.00001635085,0.001318473,0.1054377,0.0001714199,0.628695,0.0008153508,0.2629791],"study_design_scores_gemma":[0.0001297094,0.00003761326,0.0009891266,0.00002663239,8.632218e-7,0.000002219358,0.000001855836,0.7713838,0.00006088537,0.2272359,0.00002865795,0.0001026862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01630181,0.00006867984,0.9722093,0.00221622,0.00005966417,0.0001383072,2.728198e-7,0.0004909115,0.008514882],"genre_scores_gemma":[0.9152242,0.00001539531,0.08403366,0.000475653,0.00001329728,0.000009464257,0.000002036046,0.00000308641,0.0002232074],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8989224,"threshold_uncertainty_score":0.3723855,"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."}}