{"id":"W2096934584","doi":"10.1109/icde.2009.91","title":"Keyword Search over Dynamic Categorized Information","year":2009,"lang":"en","type":"article","venue":"Proceedings - International Conference on Data Engineering","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Computer science; Categorization; Focus (optics); Information retrieval; Keyword search; Data mining; Contrast (vision); 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002750726,0.0001564251,0.0001064605,0.0003218991,0.00004904312,0.001140448,0.003032776,0.00003788279,0.00005819242],"category_scores_gemma":[0.00008518273,0.0001562203,0.00002122561,0.0002656269,0.000009158888,0.007533137,0.0006778971,0.0001992822,0.0001253844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007323395,"about_ca_system_score_gemma":0.00002619206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009706941,"about_ca_topic_score_gemma":3.766617e-7,"domain_scores_codex":[0.9986648,0.000002022863,0.0002295275,0.0003321349,0.0005311769,0.0002403484],"domain_scores_gemma":[0.9993153,0.00001270758,0.00006783042,0.0003612427,0.0001723909,0.00007051847],"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":[0.00001355111,0.00004061697,0.00003596261,0.00002040317,0.00003563813,0.00000325558,0.0002026293,0.0002649916,0.001294122,0.9010595,0.002304897,0.09472444],"study_design_scores_gemma":[0.0003041826,0.00004579442,0.001475805,0.00004215095,0.000003140964,0.000003819072,0.0000249658,0.9827755,0.0001636931,0.001039936,0.01393536,0.0001856615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008878313,0.00001529694,0.9461043,0.006281622,0.00124401,0.0003609396,0.0001585505,0.0007686214,0.0361883],"genre_scores_gemma":[0.9701195,0.00007758944,0.02837056,0.0003596453,0.0001009709,0.000008951977,0.0007192509,0.000006843974,0.0002366946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9825105,"threshold_uncertainty_score":0.9998965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03711792081511415,"score_gpt":0.2881913891656117,"score_spread":0.2510734683504975,"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."}}