{"id":"W2059447079","doi":"10.1504/ijiids.2011.038969","title":"Query classification using Wikipedia","year":2011,"lang":"en","type":"article","venue":"International Journal of Intelligent Information and Database Systems","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Web query classification; Information retrieval; Encyclopedia; Query expansion; Web search query; Exploit; Query language; Variety (cybernetics); Query optimization; Ask price; Sargable; RDF query language; Range (aeronautics); Search engine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017435,0.001060075,0.0009651014,0.01067589,0.001122504,0.002917109,0.001116092,0.000964068,0.002367574],"category_scores_gemma":[0.01423434,0.0002295213,0.0008395875,0.005041389,0.0004126107,0.003783527,0.001292004,0.0007250862,0.001925755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329703,"about_ca_system_score_gemma":0.001751042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046676,"about_ca_topic_score_gemma":0.01828499,"domain_scores_codex":[0.9963973,0.0008448574,0.0005088584,0.0009160308,0.001078203,0.0002548476],"domain_scores_gemma":[0.9895433,0.004314614,0.0008435182,0.001133566,0.003761666,0.000403206],"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":[0.001536521,0.0008127841,0.06577668,0.002353244,0.0004681518,0.001336069,0.002359516,0.0148699,0.05142422,0.0103299,0.145091,0.703642],"study_design_scores_gemma":[0.0001654565,0.0006150933,0.04586078,0.0003422641,0.000491344,0.002331753,0.003178262,0.6863142,0.07008837,0.01938135,0.1708951,0.0003359557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4854652,0.009384552,0.3147878,0.004196221,0.001068391,0.003253309,0.07061736,0.05691262,0.05431463],"genre_scores_gemma":[0.6443827,0.001461202,0.2508764,0.0006335595,0.000457498,0.0006710562,0.09194998,0.0008460106,0.008721586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02046676,"threshold_uncertainty_score":0.04069525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115677571627895,"score_gpt":0.3619214082375642,"score_spread":0.2503536510747748,"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."}}