{"id":"W2107548906","doi":"10.1109/fuzzy.2006.1681989","title":"Fuzzy Grammar Induction from Large Corpora","year":2006,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Parsing; Artificial intelligence; Generalization; Natural language processing; Grammar induction; Context (archaeology); Grammar; Rule-based machine translation; Context-free grammar; Fuzzy logic; Degree (music); Natural language; Linguistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124683,0.00007175196,0.00007104442,0.00004202942,0.0000939469,0.000108831,0.0002755255,0.00003965499,0.00006384678],"category_scores_gemma":[0.000007257936,0.00005950854,0.00003197057,0.0001819703,0.000009338016,0.0002016875,0.00008763932,0.0001254768,0.0002640811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001071577,"about_ca_system_score_gemma":0.00001320707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716536,"about_ca_topic_score_gemma":0.00005199712,"domain_scores_codex":[0.999313,0.00003684434,0.0001048536,0.0002302586,0.000149902,0.0001651576],"domain_scores_gemma":[0.9996085,0.00002235055,0.00004577072,0.0002649588,0.00002350939,0.00003493487],"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":[0.000002659044,0.0002108439,0.02653001,0.000003581451,0.00001280353,0.000033265,0.0001651108,0.0003704308,0.001265221,0.771567,0.03019942,0.1696396],"study_design_scores_gemma":[0.001137965,0.0001156918,0.1823732,0.00001355559,0.000008764058,0.00002339408,0.00004319787,0.2212985,0.002301689,0.3847329,0.207335,0.0006161557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07796544,0.00004893541,0.8728766,0.00129739,0.0007231236,0.0000475357,0.000002574193,0.000523439,0.04651496],"genre_scores_gemma":[0.9003814,0.00000125322,0.0929179,0.0002448992,0.000468001,0.000002746259,0.00002291817,0.000005594464,0.005955263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.822416,"threshold_uncertainty_score":0.4106608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006886239700385081,"score_gpt":0.2129406054517768,"score_spread":0.2060543657513918,"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."}}