{"id":"W1896493377","doi":"10.21248/hpsg.2008.11","title":"Memory management for unification-based processing of typed feature structures","year":2008,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Head-Driven Phrase Structure Grammar","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Unification; Parsing; Feature (linguistics); Computer science; Rank (graph theory); Grammar; Value (mathematics); Signature (topology); Artificial intelligence; Natural language processing; Theoretical computer science; Programming language; Machine learning; Linguistics; Mathematics","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":[0.0001238023,0.0002515114,0.0002652482,0.0002458541,0.0001857676,0.00009202096,0.002510427,0.0001313404,0.00001615141],"category_scores_gemma":[0.0001275147,0.0001795973,0.0001376645,0.0003826481,0.0002209433,0.0003284375,0.0002251976,0.0002736876,3.68376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009045256,"about_ca_system_score_gemma":0.000169862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001295811,"about_ca_topic_score_gemma":0.000004658149,"domain_scores_codex":[0.9982313,0.00001032538,0.0003562762,0.0004564841,0.0007257271,0.0002199177],"domain_scores_gemma":[0.9977207,0.00004080286,0.0006219034,0.0002838206,0.001275715,0.00005704693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003036867,0.00009981405,0.00086123,0.0006984394,0.0001125355,0.000003480169,0.0008083145,0.000133638,0.1483705,0.8149963,0.002152801,0.0314592],"study_design_scores_gemma":[0.001228679,0.0002011232,0.002572401,0.00071277,0.00005446301,0.00004229132,0.0001588214,0.02904267,0.7453716,0.2192036,0.0009195081,0.0004920585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7353783,0.001071052,0.2048739,0.03571067,0.00296699,0.006726857,0.000651831,0.001498707,0.01112164],"genre_scores_gemma":[0.7443627,0.000007521945,0.2551328,0.0002128939,0.00005679433,0.00002948009,0.0000128628,0.00001403215,0.0001708871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5970011,"threshold_uncertainty_score":0.7323766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076383688282072,"score_gpt":0.2916918817946063,"score_spread":0.2609280449117856,"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."}}