{"id":"W4412989204","doi":"10.1145/3747534","title":"Compiling with Generating Functions","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Programming Languages","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Programming language","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":[0.002662375,0.0009163395,0.0008004344,0.001435907,0.0006858253,0.001823811,0.001486401,0.0007861722,0.005429415],"category_scores_gemma":[0.01421345,0.0007430122,0.001718813,0.000965197,0.001795148,0.003323938,0.002141484,0.002159012,0.001627814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008166385,"about_ca_system_score_gemma":0.001648033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333966,"about_ca_topic_score_gemma":0.001548418,"domain_scores_codex":[0.9970595,0.0007020034,0.0002082746,0.0006104127,0.001215262,0.0002045919],"domain_scores_gemma":[0.9935974,0.00342264,0.0002778076,0.001933492,0.0006787687,0.00008993042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000116436,0.0001253842,0.002340916,0.0004381864,0.00009311781,0.0003429684,0.0005731154,0.1868381,0.009986245,0.4992349,0.006854033,0.2930564],"study_design_scores_gemma":[0.00002782032,0.00005303916,0.0002304369,0.00008492478,0.00005191259,0.0002089767,0.00005201546,0.5542957,0.01378557,0.4116209,0.01955131,0.00003737334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004386896,0.00005428464,0.9899068,0.0001313872,0.00004650261,0.00004278506,0.00008212274,0.003075291,0.002274002],"genre_scores_gemma":[0.1579586,0.0002085509,0.8358628,0.0002911889,0.0001054872,0.0002773441,0.0004968532,0.001985632,0.002813602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005429415,"threshold_uncertainty_score":0.0181632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394400490083882,"score_gpt":0.2641709636345549,"score_spread":0.2502269587337161,"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."}}