{"id":"W2075249800","doi":"10.3115/1621474.1621580","title":"UofL","year":2007,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science; SemEval; Automatic summarization; Natural language processing; Word (group theory); Context (archaeology); Artificial intelligence; Task (project management); Word-sense disambiguation; Question answering; Natural language; Information retrieval; Linguistics; WordNet","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":[0.000233959,0.00003281733,0.00002882068,0.00004421646,0.00002487896,0.00004670388,0.0004554439,0.00002257138,0.00001527536],"category_scores_gemma":[0.00001869314,0.00002429736,0.00001220815,0.0001760451,0.000008636426,0.0002199267,0.0001050991,0.00004864988,0.00003985996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001040471,"about_ca_system_score_gemma":0.000007931466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001012836,"about_ca_topic_score_gemma":0.000004969903,"domain_scores_codex":[0.9996346,0.000002959518,0.00005627976,0.0001010834,0.00008865288,0.0001164071],"domain_scores_gemma":[0.9997149,0.00002261354,0.00001317471,0.0001942653,0.0000252627,0.00002981684],"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":[4.500923e-7,0.000006215908,0.0000857766,0.000001512363,7.185942e-7,0.00001821127,0.0000626609,2.336757e-8,0.004059999,0.7615619,0.002183368,0.2320192],"study_design_scores_gemma":[0.00007729021,0.00003343963,0.0004442396,0.000008132852,7.173497e-7,0.00004158989,0.000009056759,0.001014583,0.6885301,0.292084,0.01757397,0.0001828835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004246596,0.0003034601,0.9684393,0.0003914022,0.00005879032,0.00002070606,1.82895e-8,0.0009639402,0.02939776],"genre_scores_gemma":[0.3291946,4.994449e-7,0.6693864,0.0005790673,0.00001708539,3.036988e-7,6.503414e-8,0.000001247702,0.0008207046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6844701,"threshold_uncertainty_score":0.09908177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009317795113138455,"score_gpt":0.2802391759585755,"score_spread":0.270921380845437,"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."}}