{"id":"W1966216812","doi":"10.3115/1117755.1117757","title":"Adapting a synonym database to specific domains","year":2000,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pruning; WordNet; Computer science; Synonym (taxonomy); Domain (mathematical analysis); Lexical database; Information retrieval; Artificial intelligence; Natural language processing; Database; 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":[0.0002173538,0.000104942,0.00009268081,0.00008519188,0.00009566926,0.0002112898,0.001032488,0.00003069976,0.0007520678],"category_scores_gemma":[0.00002074022,0.00008557148,0.0000274368,0.000490902,0.00001426418,0.0005479016,0.0002335013,0.0001135256,0.0004887002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003271476,"about_ca_system_score_gemma":0.00002140084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004459023,"about_ca_topic_score_gemma":0.0000100021,"domain_scores_codex":[0.9989949,0.00002369147,0.0001387552,0.0003674412,0.0002161477,0.000259008],"domain_scores_gemma":[0.9991361,0.00004046853,0.00001970469,0.0006591508,0.00003141991,0.0001130906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007384057,0.000035964,0.00001417178,0.000007575176,0.000003454088,0.0001096151,0.0004021249,0.000006338113,0.01225986,0.121157,0.01684676,0.8491497],"study_design_scores_gemma":[0.0006184529,0.0002897073,0.0001596292,0.0003317567,0.000007581926,0.0003398006,0.00007998763,0.01780134,0.2203907,0.03611746,0.7222537,0.001609868],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005767272,0.0005907128,0.9690756,0.001371192,0.00006015732,0.0001391966,0.000002141684,0.001433545,0.02156023],"genre_scores_gemma":[0.09810267,0.00001214136,0.8968774,0.001430985,0.00006755868,0.000008794868,0.000001659373,0.000007538478,0.00349122],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8475398,"threshold_uncertainty_score":0.8234615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166520759332042,"score_gpt":0.2667677192926828,"score_spread":0.2501156433594786,"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."}}