{"id":"W4399851487","doi":"10.1145/3656448","title":"Compiling Probabilistic Programs for Variable Elimination with Information Flow","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Programming Languages","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Variable (mathematics); Probabilistic logic; Computer science; Information flow; Programming language; Mathematics; Artificial intelligence; Philosophy","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":[0.0006067763,0.0001258143,0.0001165767,0.0001084342,0.0001806996,0.0007195033,0.001353842,0.00005250336,9.879585e-7],"category_scores_gemma":[0.0007845773,0.00008388225,0.00005733016,0.0006956914,0.00005480764,0.0008522913,0.0002525442,0.0001371549,0.000002888624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004936343,"about_ca_system_score_gemma":0.00005230313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006847463,"about_ca_topic_score_gemma":5.0732e-7,"domain_scores_codex":[0.9989817,0.000005939689,0.0002495534,0.0002392528,0.0003043531,0.0002191921],"domain_scores_gemma":[0.9989451,0.0001757504,0.0001634334,0.000324065,0.0003601949,0.00003147639],"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":[0.0000248025,0.00008468248,0.000184617,0.001381378,0.00003647866,1.850539e-7,0.004938534,0.0003417611,0.000307356,0.3605733,0.0004035883,0.6317233],"study_design_scores_gemma":[0.0009436602,0.001291418,0.0006534859,0.003669866,0.0001283365,0.00006746029,0.003021491,0.8335244,0.03077466,0.05910087,0.06606463,0.0007597443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1873687,0.0008983251,0.7793546,0.01506255,0.001674618,0.007566137,0.00001925178,0.00359801,0.00445786],"genre_scores_gemma":[0.578083,0.000001410365,0.421582,0.00006566839,0.00006385479,0.0001541199,0.000007365151,0.000009113544,0.00003353494],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8331826,"threshold_uncertainty_score":0.6938187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620401409564343,"score_gpt":0.2575482061316535,"score_spread":0.2413441920360101,"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."}}