{"id":"W4414978574","doi":"10.1145/3763126","title":"Flix: A Design for Language-Integrated Datalog","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Programming Languages","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Datalog; Implementation; Guard (computer science); Constraint programming; Modular design; Declarative programming; Program analysis; Logic programming","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":[0.0004978245,0.0001604867,0.0002171406,0.0001273909,0.000132898,0.0001962021,0.003851811,0.00007469977,0.000001429671],"category_scores_gemma":[0.003077603,0.00009996006,0.0001112873,0.0005578747,0.000086851,0.0002023501,0.0008309052,0.000125645,0.000002606136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655425,"about_ca_system_score_gemma":0.00004921713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004310798,"about_ca_topic_score_gemma":0.000003878357,"domain_scores_codex":[0.9989438,0.00001111484,0.000213424,0.0003456866,0.0001822982,0.0003036513],"domain_scores_gemma":[0.998637,0.0003333405,0.0001507046,0.0006825129,0.0001691311,0.00002729533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001527621,0.0003829864,0.005308192,0.0005871292,0.0002325276,0.000005463952,0.008057145,0.00001506636,0.03911783,0.2298558,0.03091404,0.6853711],"study_design_scores_gemma":[0.0017727,0.000675565,0.005325813,0.001016697,0.000142823,0.00002154144,0.01096181,0.002742844,0.9190757,0.03249355,0.02513872,0.000632207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6771864,0.006620834,0.25781,0.03552144,0.002208757,0.006917702,0.00004300861,0.003232332,0.01045951],"genre_scores_gemma":[0.6082335,0.000006744788,0.3898936,0.0004763811,0.0000389122,0.0001526632,0.000002743261,0.00001142444,0.001184126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8799579,"threshold_uncertainty_score":0.7157687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405137264420407,"score_gpt":0.3026961629178796,"score_spread":0.2786447902736755,"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."}}