{"id":"W1559992293","doi":"","title":"Algebra of inference in graphical models revisited","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inference; Graphical model; Variable elimination; Theoretical computer science; Semiring; Computer science; Hierarchy; Graph; Distributive property; Mathematics; Algorithm; Artificial intelligence; Discrete mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004636225,0.0003031209,0.0005372688,0.0004865055,0.0000437394,0.00006620676,0.002293773,0.0004211238,0.000009512792],"category_scores_gemma":[0.00007952625,0.0003460113,0.0001900201,0.0009163319,0.0001421902,0.0003552423,0.001664695,0.0008283491,0.00001741372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007201573,"about_ca_system_score_gemma":0.0002071803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002106578,"about_ca_topic_score_gemma":0.00002571011,"domain_scores_codex":[0.9978346,0.0002409039,0.0003720775,0.00106542,0.0001293479,0.0003576451],"domain_scores_gemma":[0.9976829,0.0002174424,0.0002866479,0.001425619,0.0002244837,0.0001629301],"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":[0.000009701467,0.00005241854,0.001273098,0.00007295216,0.00001379552,0.00003582823,0.0001093416,0.3648251,0.000018786,0.6330528,0.00001830026,0.000517872],"study_design_scores_gemma":[0.0001651807,0.0000272417,0.0004440827,0.0002431271,0.00001200422,6.709898e-7,0.000004527175,0.6219207,0.00003577834,0.3769203,0.000005781038,0.0002205819],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2124902,0.00005992933,0.7856653,0.00005318935,0.0001105602,0.000126902,0.000005797949,0.0001105158,0.001377579],"genre_scores_gemma":[0.9956785,0.0002788301,0.003831644,0.00009012336,0.00002166662,8.373201e-7,0.000008447283,0.00001140914,0.00007848043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7831883,"threshold_uncertainty_score":0.9998992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08942489241856896,"score_gpt":0.2089388303509387,"score_spread":0.1195139379323697,"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."}}