{"id":"W94266648","doi":"","title":"Special Track on Semantics, Ontologies, and Computational Linguistics.","year":2009,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Semantics (computer science); Computational linguistics; Computational semantics; Natural language processing; Track (disk drive); Artificial intelligence; Programming language; Linguistics; Operational semantics; Philosophy","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":[0.001622354,0.0001414015,0.0001823375,0.00004649647,0.0006802388,0.0003804767,0.0010845,0.0000962477,0.00001282734],"category_scores_gemma":[0.00100457,0.0000946465,0.00009037121,0.0003413151,0.0004546639,0.00009816771,0.0002756158,0.0006781264,0.00006713637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007291474,"about_ca_system_score_gemma":0.0001636087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004066068,"about_ca_topic_score_gemma":0.000012929,"domain_scores_codex":[0.9978183,0.000183423,0.0001892471,0.000397209,0.0008629453,0.0005488819],"domain_scores_gemma":[0.9977967,0.001142492,0.00003859544,0.0005058927,0.000422908,0.00009343932],"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":[0.00002562678,0.00009054507,0.0002760356,0.00001421045,0.00003329254,0.0000292127,0.00313109,0.0004182571,0.00002187465,0.574751,0.3933274,0.02788145],"study_design_scores_gemma":[0.001295922,0.001154038,0.09611765,0.00007123969,0.00001547519,0.00003871398,0.00122786,0.1479274,0.0005552616,0.5087746,0.2422674,0.0005543966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2747174,0.002727081,0.1536004,0.394421,0.01655043,0.003530956,0.00006028927,0.002379274,0.1520131],"genre_scores_gemma":[0.9668861,0.0003252704,0.02008373,0.00369349,0.008058557,0.000009382025,0.000006818395,0.00001030859,0.0009263308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6921687,"threshold_uncertainty_score":0.5231916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07335193592274415,"score_gpt":0.3679364376563162,"score_spread":0.2945845017335721,"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."}}