{"id":"W4365211599","doi":"10.1145/3591269","title":"flap: A Deterministic Parser with Fused Lexing","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Programming Languages","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Research Council; Horizon 2020 Framework Programme; Isaac Newton Trust; European Commission","keywords":"Computer science; Security token; Parsing; Parser combinator; Programming language; Context (archaeology); LR parser; Modularity (biology); Ambiguity; Interface (matter); Theoretical computer science; Parallel computing; Operating system","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":[0.0004778317,0.0002331839,0.0002377132,0.0002154259,0.0001967873,0.0003199031,0.00412495,0.00008407585,0.000002160084],"category_scores_gemma":[0.001312234,0.0001401006,0.00008997757,0.001453722,0.0001320408,0.00038598,0.001410395,0.0002801206,0.00001340046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003531444,"about_ca_system_score_gemma":0.00003869392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001679666,"about_ca_topic_score_gemma":0.00000280717,"domain_scores_codex":[0.9982722,0.0000109882,0.0002416494,0.0004592926,0.0005518378,0.0004639868],"domain_scores_gemma":[0.998533,0.000140426,0.0002898265,0.0007762285,0.0001943193,0.00006619818],"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":[0.0001533073,0.000275378,0.01262414,0.00121018,0.0001615345,0.0001257298,0.01104168,0.00001052768,0.0925387,0.09489913,0.005023339,0.7819363],"study_design_scores_gemma":[0.001341958,0.001426959,0.003944072,0.002757819,0.0001176132,0.0002416759,0.002402892,0.002173569,0.8996544,0.0793153,0.005159987,0.001463776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778507,0.0009065714,0.002577161,0.008150402,0.0002819442,0.00145645,0.000005236654,0.006847958,0.001923613],"genre_scores_gemma":[0.7445827,0.000004430629,0.2546842,0.0001832163,0.00004848413,0.0000790569,9.105966e-7,0.00002804052,0.0003890324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8071157,"threshold_uncertainty_score":0.7665251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751960330658922,"score_gpt":0.2787272433611151,"score_spread":0.2612076400545259,"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."}}