{"id":"W4238657552","doi":"10.1002/cpe.1405","title":"Distributed parallel compilation of MSBNs","year":2009,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Tree traversal; Asynchronous communication; Compiler; Set (abstract data type); Inference; Simple (philosophy); Distributed computing; Theoretical computer science; Parallel computing; Programming language; Artificial intelligence; Computer network","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":[0.0001550924,0.00009733044,0.0001285412,0.00004198029,0.000131837,0.0001108839,0.0001486954,0.00004117046,0.00000189375],"category_scores_gemma":[0.0001198298,0.00009364872,0.00001585488,0.000211185,0.00007939553,0.001221564,0.00004432441,0.00009255701,0.00000192353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005457059,"about_ca_system_score_gemma":0.0000349971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009132755,"about_ca_topic_score_gemma":2.430231e-7,"domain_scores_codex":[0.9991561,0.00006592977,0.0002441766,0.0002607213,0.0001496639,0.0001234336],"domain_scores_gemma":[0.9992823,0.0001828636,0.0001705945,0.0001221618,0.0001660258,0.00007605355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003881548,0.0001746397,0.0006172465,0.00002312021,0.00001069568,0.000007007694,0.01450467,0.001323122,0.0009882555,0.3961815,0.0002106979,0.5859202],"study_design_scores_gemma":[0.0008339496,0.0006138916,0.01980381,0.00009229181,0.00002237602,0.0001184875,0.001714806,0.9291644,0.0006838869,0.04437558,0.002153616,0.0004228935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04761688,0.0008198966,0.9493582,0.001392212,0.00009060774,0.00006885047,0.000003485604,0.00005267484,0.0005972228],"genre_scores_gemma":[0.9724824,0.0002494331,0.02685718,0.000377878,0.0000125546,0.000004063286,0.00001029827,0.000001442382,0.000004738747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9278413,"threshold_uncertainty_score":0.3818884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0319058293536043,"score_gpt":0.3332848913637186,"score_spread":0.3013790620101143,"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."}}