{"id":"W4244058758","doi":"10.1007/978-0-387-39940-9_2697","title":"Grammatical Induction","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003953063,0.0003790184,0.0006603092,0.0002702469,0.0001268925,0.00009355952,0.0002473996,0.0002253226,0.001384958],"category_scores_gemma":[0.0002963339,0.0003591918,0.000142555,0.00001203871,0.0001699802,0.0001811833,0.0000622829,0.000359091,0.0005600965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007894008,"about_ca_system_score_gemma":0.0001081499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148689,"about_ca_topic_score_gemma":0.000394912,"domain_scores_codex":[0.9977105,0.00004433764,0.0009939646,0.0004031502,0.0006156703,0.0002323824],"domain_scores_gemma":[0.9979616,0.0001492425,0.0007403931,0.0007113265,0.0003389048,0.00009850747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000927599,0.00003312943,0.000002514984,0.0004115065,0.00008385921,0.00001781465,0.002986275,0.00000200718,0.000002911966,0.98746,0.006392387,0.002598275],"study_design_scores_gemma":[0.0002222975,0.00009117033,0.000006303568,0.00103093,0.000279554,0.00001363648,0.0006476533,0.00009683874,0.000003171888,0.06265591,0.934495,0.0004575281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006360862,0.0003966752,0.0003372539,0.0005215993,0.008202824,0.0006119055,0.001148444,0.0001189708,0.9885987],"genre_scores_gemma":[0.01315122,0.0005350919,0.0005368436,0.00003470802,0.01737241,0.00002407853,0.002993515,0.0001250627,0.9652271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9281026,"threshold_uncertainty_score":0.999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03334754347294089,"score_gpt":0.2373142198863131,"score_spread":0.2039666764133722,"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."}}