{"id":"W2160765088","doi":"10.3115/1073427.1073438","title":"Automatically discovering word senses","year":2003,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Word (group theory); Cluster analysis; Computer science; Artificial intelligence; Natural language processing; Linguistics","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":[0.001372125,0.001020855,0.0009928893,0.006228708,0.002343574,0.001783712,0.001088026,0.001118105,0.0027137],"category_scores_gemma":[0.009795718,0.0004719963,0.001265219,0.003615474,0.0008452249,0.002823829,0.001828104,0.00131188,0.00212388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005714306,"about_ca_system_score_gemma":0.001491972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002685131,"about_ca_topic_score_gemma":0.007925064,"domain_scores_codex":[0.997395,0.000699974,0.0002446438,0.0008175537,0.0006596808,0.0001830879],"domain_scores_gemma":[0.9954397,0.001952595,0.000309046,0.0005393024,0.001565521,0.0001938647],"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":[0.0005480081,0.0004908683,0.03699557,0.001219574,0.0003827074,0.001708403,0.003161009,0.01459683,0.09929799,0.07280716,0.05225443,0.7165375],"study_design_scores_gemma":[0.00009755296,0.0002793091,0.02033307,0.0003465367,0.0003868403,0.004537567,0.004746879,0.532736,0.0940726,0.232416,0.1097489,0.0002986038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1700186,0.001019323,0.8058107,0.0009298106,0.0004639013,0.0003257361,0.003687543,0.006012412,0.01173197],"genre_scores_gemma":[0.364329,0.0004548119,0.621347,0.0002370845,0.0001313308,0.000287747,0.008378881,0.0008062994,0.004027919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006228708,"threshold_uncertainty_score":0.009078264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009390139955483549,"score_gpt":0.2565597385996673,"score_spread":0.2471695986441838,"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."}}