{"id":"W2145778559","doi":"10.5555/1671011.1671064","title":"An exploratory study of tag-based visual interfaces for searching folksonomies","year":2009,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Exploratory search; Categorization; Visual search; Information retrieval; Metadata; Keyword search; Interface (matter); Variety (cybernetics); Space (punctuation); Search engine indexing; Human–computer interaction; Animation; World Wide Web; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004559822,0.00007453148,0.0001155867,0.0001468007,0.0001012231,0.0001367697,0.0004950229,0.00001987807,0.00001045275],"category_scores_gemma":[0.00001875492,0.00005867477,0.00003144365,0.0001618686,0.00001724441,0.00109674,0.00004243377,0.00005844231,0.000006242057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000175389,"about_ca_system_score_gemma":0.00007186046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009528491,"about_ca_topic_score_gemma":0.00001791511,"domain_scores_codex":[0.9991777,0.000055429,0.0002263987,0.0001423047,0.0002300121,0.0001681337],"domain_scores_gemma":[0.9994398,0.00006387058,0.00005640991,0.0002253169,0.0001451275,0.00006944343],"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":[0.0005472049,0.00829719,0.006956125,0.0001030739,0.00005174094,0.000008550853,0.0856221,0.005595371,0.0442992,0.0343179,0.001126533,0.813075],"study_design_scores_gemma":[0.002765702,0.01656771,0.01304294,0.0000206176,0.000009643971,8.295457e-7,0.01754025,0.7277489,0.2211165,0.0004934226,0.0003177527,0.0003757436],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6824055,0.000002603248,0.3169867,0.000108094,0.00004155738,0.0002905201,9.872109e-7,0.00006531183,0.00009877227],"genre_scores_gemma":[0.9903026,2.284576e-7,0.009438533,0.0001701896,0.00001287165,0.00001622334,0.000001736738,0.000002282085,0.00005538138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8126993,"threshold_uncertainty_score":0.2392688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243803567821059,"score_gpt":0.3550785557807591,"score_spread":0.3126405201025486,"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."}}