{"id":"W173185721","doi":"10.1145/2567948.2576947","title":"Reachable subwebs for traversal-based query execution","year":2014,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tree traversal; Computer science; Graph traversal; Benchmark (surveying); Relevance (law); PageRank; Information retrieval; Search engine; Graph; Web search query; Data mining; Theoretical computer science; Algorithm","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":[0.0004369074,0.00006808069,0.0001011215,0.00007952522,0.00008718536,0.00009961648,0.0003837284,0.00003437663,0.00001660588],"category_scores_gemma":[0.00009002335,0.0000576685,0.00007491391,0.0001816921,0.00001432793,0.0002343715,0.00003168455,0.000031482,0.00004064833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001454066,"about_ca_system_score_gemma":0.00003323188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001188992,"about_ca_topic_score_gemma":0.00001968975,"domain_scores_codex":[0.9993184,0.00003197534,0.0001097128,0.0002571144,0.000111313,0.0001714858],"domain_scores_gemma":[0.999257,0.0001557769,0.00003689459,0.0004532546,0.00004258836,0.00005452433],"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":[0.00002726664,0.000236797,0.001489105,0.00005986553,0.00007077982,0.000002669334,0.0002907288,0.001960484,0.00692776,0.6778873,0.122434,0.1886132],"study_design_scores_gemma":[0.0003253278,0.00008581314,0.0002045554,0.00001054197,0.00001280012,7.438667e-7,0.0000160745,0.9417483,0.01021384,0.002249841,0.04500319,0.0001289416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002800207,0.00000488368,0.9904706,0.001076236,0.00009007049,0.00004523778,0.000003045243,0.000163611,0.005346066],"genre_scores_gemma":[0.8635042,7.072746e-7,0.1331339,0.0007568313,0.00006779518,0.00001407142,0.00003524586,0.000004965728,0.002482296],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9397879,"threshold_uncertainty_score":0.2351653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068693665863858,"score_gpt":0.2194082239327537,"score_spread":0.2087212872741152,"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."}}