{"id":"W2572497595","doi":"","title":"Grammar Induction as Automated Transformation between Constraint Solving Models of Language.","year":2016,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Transformation (genetics); Programming language; Grammar; Natural language processing; Model transformation; Constraint (computer-aided design); Artificial intelligence; Linguistics; Mathematics; Philosophy; Chemistry","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":[0.001121062,0.0005722389,0.0004958357,0.0009526028,0.0005614664,0.001905508,0.002244835,0.0008053738,0.008968469],"category_scores_gemma":[0.007705161,0.0005829225,0.001536589,0.00108104,0.0009981617,0.00202448,0.002511336,0.002339975,0.002951821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008996706,"about_ca_system_score_gemma":0.002088147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0042187,"about_ca_topic_score_gemma":0.007996229,"domain_scores_codex":[0.9983494,0.0005597394,0.00008817462,0.000319124,0.0005509098,0.0001326383],"domain_scores_gemma":[0.9964542,0.002234772,0.000157637,0.0006231206,0.0004609152,0.00006930598],"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":[0.0003586487,0.000449145,0.002050281,0.0005710957,0.0001930169,0.0008372724,0.0008769085,0.1503992,0.02202054,0.3630023,0.03442533,0.4248162],"study_design_scores_gemma":[0.00007274206,0.00004748817,0.0002579697,0.00004988163,0.00005102429,0.0001293272,0.0001661634,0.735256,0.01338276,0.2325108,0.01805364,0.00002227361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009015708,0.0001171529,0.9684019,0.0003536113,0.00008920484,0.0001965913,0.0008869353,0.01295127,0.007987593],"genre_scores_gemma":[0.2055514,0.000171317,0.780556,0.0002878378,0.00005389979,0.0002661342,0.004186119,0.002144875,0.006782376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008968469,"threshold_uncertainty_score":0.03000253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08747857146460501,"score_gpt":0.3393896233222696,"score_spread":0.2519110518576645,"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."}}