{"id":"W2392182560","doi":"","title":"A Web General Query System (GQS) Based On Metadata","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Web search query; Sargable; Information retrieval; Query optimization; Query expansion; Web query classification; Metadata; World Wide Web; Search engine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003251278,0.0006898009,0.001291454,0.00301281,0.001335973,0.002991017,0.002585585,0.001478776,0.004581736],"category_scores_gemma":[0.003548104,0.000609913,0.000943723,0.002725334,0.001341363,0.005630826,0.003259282,0.001499366,0.003432845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009534523,"about_ca_system_score_gemma":0.002190208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004437475,"about_ca_topic_score_gemma":0.002129932,"domain_scores_codex":[0.9970379,0.0005440218,0.0005298877,0.000499473,0.001215845,0.0001729067],"domain_scores_gemma":[0.9973013,0.0004464492,0.0002043182,0.0008204283,0.0008870345,0.0003405275],"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":[0.001097698,0.0005479358,0.008064915,0.002066057,0.0002546095,0.002070892,0.00160848,0.01007977,0.08699663,0.1815761,0.09384563,0.6117913],"study_design_scores_gemma":[0.000334206,0.0006593082,0.004108604,0.0003364417,0.0004481773,0.004804995,0.000649012,0.2475183,0.07341772,0.06448878,0.6026514,0.0005829527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007157171,0.0006746991,0.9403964,0.0007005127,0.0002451156,0.0005313728,0.0006585036,0.04459487,0.005041342],"genre_scores_gemma":[0.1587177,0.001672205,0.8140082,0.001308423,0.0004488397,0.0007061609,0.006649886,0.002736479,0.01375211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004581736,"threshold_uncertainty_score":0.01719463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007287754639660359,"score_gpt":0.2395518495139138,"score_spread":0.2322640948742534,"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."}}