{"id":"W1649866788","doi":"10.1007/978-3-642-00958-7_73","title":"Representing User Navigation in XML Retrieval with Structural Summaries","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; XML; Information retrieval; Document Structure Description; XML framework; XML database; World Wide Web","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":[0.0006920808,0.0005017874,0.000553401,0.0005883908,0.0002661496,0.0004295075,0.001486871,0.0002251342,0.000006123155],"category_scores_gemma":[0.0001174652,0.0004059983,0.00006715566,0.0008893103,0.0006186171,0.001897888,0.0008240257,0.0008362222,0.000007209306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709434,"about_ca_system_score_gemma":0.00039435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109164,"about_ca_topic_score_gemma":0.0004042555,"domain_scores_codex":[0.996085,0.00004410719,0.0006018847,0.001560802,0.001044345,0.0006638262],"domain_scores_gemma":[0.9975666,0.000282072,0.0003812978,0.001394719,0.0002583423,0.0001169924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008524673,0.00002220149,0.002268527,0.0001403435,0.00001759142,0.0008832858,0.002085659,0.07879551,0.0004323487,0.2183862,0.0000136874,0.6968694],"study_design_scores_gemma":[0.002075522,0.0009293963,0.007380653,0.006686424,0.00002348291,0.00104678,0.000004397664,0.6127799,0.009868228,0.3375098,0.01756765,0.004127772],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002871956,0.0003463321,0.9942322,0.0003219026,0.0007363259,0.0004104963,0.00001119864,0.0001372842,0.0009323499],"genre_scores_gemma":[0.1692253,0.00002434342,0.8289457,0.0005066741,0.000550689,0.000005751891,0.00005355703,0.00004461958,0.0006433428],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6927416,"threshold_uncertainty_score":0.9998392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252211437910994,"score_gpt":0.2499816266035587,"score_spread":0.2374595122244488,"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."}}