{"id":"W153785916","doi":"","title":"Using Encyclopaedic Knowledge for Query Classification.","year":2010,"lang":"en","type":"article","venue":"International Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Information retrieval; Natural language processing; Artificial intelligence","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":[0.0003739734,0.0001739711,0.0001524213,0.0002159014,0.000175232,0.0003387,0.001626095,0.000117094,0.0001813471],"category_scores_gemma":[0.0005178287,0.0001627022,0.0001018174,0.0001973155,0.0001609875,0.0003906583,0.0001337545,0.0002684826,0.0002616253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004804103,"about_ca_system_score_gemma":0.0002377333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003872504,"about_ca_topic_score_gemma":0.0002185211,"domain_scores_codex":[0.9984835,0.00003373071,0.0004162369,0.0005085243,0.0002851074,0.000272839],"domain_scores_gemma":[0.9984199,0.0002959316,0.0001463015,0.000461697,0.0005862666,0.00008992384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000153169,0.0001021755,0.00008266109,0.000003687301,0.00001019795,0.000001950932,0.0002497529,0.00002998925,0.03447199,0.8462817,0.0001014316,0.1186491],"study_design_scores_gemma":[0.0000310167,0.00006023746,0.0003741277,0.00002862961,0.000004369088,0.0000116227,0.000210789,0.6549356,0.03703841,0.3036484,0.003444423,0.0002123767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02199613,0.00001687349,0.9446753,0.003469713,0.005345717,0.0002428495,0.000009170333,0.0001761328,0.02406811],"genre_scores_gemma":[0.949638,0.00001761788,0.04942181,0.0002161832,0.0003982041,0.00004851042,0.000005977069,0.000009113733,0.0002445878],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9276419,"threshold_uncertainty_score":0.6634805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2987819629349078,"score_gpt":0.4204165625896202,"score_spread":0.1216345996547124,"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."}}