{"id":"W1490722843","doi":"10.1007/11812128_31","title":"Parsing Computer Languages with an Automaton Compiled from a Single Regular Expression","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Parsing; Regular expression; Automaton; Programming language; Expression (computer science); Natural language processing; Artificial intelligence","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":[0.0006308516,0.0006686707,0.0009336598,0.0008712631,0.0008137721,0.001499095,0.001158004,0.000896991,0.003768459],"category_scores_gemma":[0.002836624,0.001137833,0.001755222,0.0009702606,0.001141891,0.002412957,0.001358745,0.001542428,0.002213047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005513794,"about_ca_system_score_gemma":0.001116804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445356,"about_ca_topic_score_gemma":0.002102132,"domain_scores_codex":[0.9992477,0.0001521545,0.00008504021,0.000286776,0.000142058,0.00008627469],"domain_scores_gemma":[0.9982169,0.0009375139,0.00009313813,0.0005287929,0.0001870018,0.00003658915],"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":[0.001413657,0.0005395171,0.007893508,0.001788653,0.0004053957,0.002516294,0.003859289,0.08824848,0.1688048,0.2030788,0.02478346,0.4966682],"study_design_scores_gemma":[0.0001422281,0.0004368251,0.001929625,0.0002626593,0.0006398846,0.0009772001,0.0005932866,0.4682427,0.2480192,0.230425,0.04812303,0.0002082933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06346225,0.0001322652,0.8866833,0.0002328017,0.0001978824,0.000176938,0.0006918141,0.04348341,0.004939446],"genre_scores_gemma":[0.3617547,0.0001910891,0.6231351,0.0001807251,0.0000802575,0.0001901416,0.001900495,0.006151286,0.006416257],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003768459,"threshold_uncertainty_score":0.0126068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013135533190308,"score_gpt":0.2430224935158901,"score_spread":0.232891138183987,"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."}}