{"id":"W2122497464","doi":"10.3115/1564144.1564150","title":"<i>Yawat</i>","year":2008,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Markup language; Visualization; Sentence; Word (group theory); Focus (optics); Phrase; JavaScript; Annotation; Artificial intelligence; Natural language processing; Information retrieval; XML; Programming language; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000794563,0.001971169,0.001086909,0.002655885,0.0007091039,0.002535544,0.002001588,0.000864982,0.3509738],"category_scores_gemma":[0.003906285,0.0009439479,0.0009886671,0.002055458,0.0004188229,0.003004303,0.002539783,0.001474554,0.1769483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005560358,"about_ca_system_score_gemma":0.0006715034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002506495,"about_ca_topic_score_gemma":0.004290328,"domain_scores_codex":[0.9994925,0.00007696332,0.00005183172,0.0001201408,0.0001983902,0.0000601216],"domain_scores_gemma":[0.9984993,0.0004732029,0.0001385864,0.0002933837,0.0004241907,0.0001713541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001784466,0.00001936189,0.000357484,0.0004679848,0.00002804045,0.0001932679,0.0002044351,0.0002102522,0.007909753,0.002582444,0.909107,0.07874145],"study_design_scores_gemma":[0.00008712708,0.00003448986,0.001352881,0.0001210309,0.0000201008,0.0004352793,0.0000717989,0.00381723,0.01655755,0.004522174,0.9728745,0.0001059666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.001901741,0.0003828635,0.2370227,0.0008298878,0.00124818,0.0002687784,0.08763214,0.6119172,0.05879636],"genre_scores_gemma":[0.03017946,0.0007142377,0.3393822,0.00185397,0.0007415704,0.001124714,0.2222982,0.2948577,0.1088479],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3509738,"threshold_uncertainty_score":0.9257572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427506938351213,"score_gpt":0.2442224826550609,"score_spread":0.2299474132715487,"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."}}