{"id":"W2020714435","doi":"10.1145/1840784.1840839","title":"Supporting semantic navigation","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Semantic computing; Information retrieval; Context (archaeology); Reading (process); Human–computer interaction; Semantic search; Semantic grid; Exploratory search; Interface (matter); World Wide Web; Semantic 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":[],"consensus_categories":[],"category_scores_codex":[0.0001915351,0.00004431248,0.00005269103,0.00002518255,0.00005530089,0.00008840278,0.0003607007,0.00003199068,0.00004508139],"category_scores_gemma":[0.00005755455,0.00003419138,0.0000222132,0.0001000241,0.00001859269,0.0002677062,0.00008627708,0.00008806365,0.0001513345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002053055,"about_ca_system_score_gemma":0.00001850795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004034617,"about_ca_topic_score_gemma":0.00003652601,"domain_scores_codex":[0.9994944,0.000007044014,0.0001045917,0.0001427249,0.00009607507,0.0001551207],"domain_scores_gemma":[0.9995821,0.00004409984,0.00003576851,0.0002798312,0.00002816068,0.000030115],"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":[6.939741e-7,0.0000346909,0.03051503,0.00001539871,0.000006612912,0.00003896621,0.0006496894,0.000003717002,0.07109114,0.7833025,0.00249288,0.1118487],"study_design_scores_gemma":[0.0007085427,0.0001241448,0.1859623,0.00003205115,0.00001358344,0.0004749985,0.0004108122,0.3093316,0.2950763,0.1856285,0.02138746,0.0008496064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5870937,0.000005023115,0.3950112,0.001371778,0.0006509782,0.00004257212,4.494481e-8,0.0003278115,0.01549696],"genre_scores_gemma":[0.9304703,3.003368e-7,0.06871084,0.0002126839,0.00003990882,0.000001679741,5.427e-7,0.00000169589,0.000562036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.597674,"threshold_uncertainty_score":0.1945149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265065556953339,"score_gpt":0.2874382189386235,"score_spread":0.2747875633690902,"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."}}