{"id":"W4412543519","doi":"10.1007/978-3-031-98682-6_6","title":"Panini: An Efficient and Flexible Knowledge Compiler","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jilin Province","keywords":"Computer science; Compiler; Programming language; Software engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001873104,0.001426835,0.0007286782,0.001458756,0.0006485077,0.00208994,0.002639652,0.0008716708,0.009867651],"category_scores_gemma":[0.008776644,0.001011988,0.001238829,0.00166635,0.0009443248,0.00413032,0.002652901,0.001859597,0.002704075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163632,"about_ca_system_score_gemma":0.005021286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006290498,"about_ca_topic_score_gemma":0.007721613,"domain_scores_codex":[0.9977914,0.0005665868,0.0001772885,0.0005207247,0.0007066131,0.0002374331],"domain_scores_gemma":[0.9951842,0.002674178,0.0002784286,0.001043447,0.0006620475,0.0001575658],"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":[0.001508097,0.0009304498,0.004943349,0.001200243,0.0001306502,0.0004520464,0.0005041923,0.1463728,0.01924278,0.07368615,0.1082055,0.6428238],"study_design_scores_gemma":[0.0003564283,0.0002902511,0.001038711,0.00009037825,0.0000881829,0.0002593551,0.0001952481,0.8540219,0.0374255,0.03574907,0.07040121,0.00008367402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05657725,0.0007796687,0.7665702,0.0009699715,0.0002163022,0.0007012409,0.004336231,0.1536881,0.01616098],"genre_scores_gemma":[0.242043,0.0003466261,0.7356942,0.0005421453,0.00007582754,0.000540027,0.00826399,0.006096298,0.006397855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009867651,"threshold_uncertainty_score":0.03301054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114039211163641,"score_gpt":0.3068545687361519,"score_spread":0.2757141766245155,"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."}}