{"id":"W1937292162","doi":"","title":"Dynamic Query Plan for Efficient Query Processing in Peer-to-Peer Environments","year":2008,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Query optimization; Query language; Peer-to-peer; Query expansion; Sargable; Web query classification; Cornerstone; Query plan; Web search query; Transmission (telecommunications); Spatial query; RDF query language; Distributed computing; Plan (archaeology); Information retrieval; Search engine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002377478,0.0004143368,0.0005069796,0.000738767,0.0002276422,0.00009647704,0.002362066,0.0001358057,0.00001525582],"category_scores_gemma":[0.000184007,0.0004205397,0.0001122988,0.002026601,0.0002325133,0.0009085895,0.001016371,0.0003112956,0.0001332837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000204208,"about_ca_system_score_gemma":0.0002243379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007256236,"about_ca_topic_score_gemma":0.00002756717,"domain_scores_codex":[0.9963744,0.00006271288,0.0005236733,0.001109323,0.0008911928,0.001038677],"domain_scores_gemma":[0.9982335,0.0001403162,0.0001884428,0.001090507,0.0000383874,0.0003088244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001964317,0.001017309,0.1785308,0.00007722838,0.00008030367,0.0007710809,0.005046785,0.05443515,0.002440024,0.002828084,0.1912911,0.5632856],"study_design_scores_gemma":[0.001423491,0.001065579,0.6555595,0.0002130371,0.00001883104,0.00009679033,0.0004721953,0.207545,0.004313592,0.001193898,0.1258979,0.002200186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6612215,0.000289748,0.3133597,0.02221075,0.0003522591,0.0009210856,0.00002972104,0.0009689515,0.0006462514],"genre_scores_gemma":[0.7883565,0.00002142834,0.2046875,0.003026974,0.00004779253,0.000283457,0.0000305705,0.00006488871,0.003480832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5610855,"threshold_uncertainty_score":0.9998246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315481572570099,"score_gpt":0.2281884220479433,"score_spread":0.2150336063222423,"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."}}