{"id":"W2020664340","doi":"10.1353/lib.2012.0022","title":"Capitalizing on Information Organization and Information Visualization for a New-Generation Catalogue","year":2012,"lang":"en","type":"article","venue":"Library trends","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre for Interdisciplinary Research in Music Media and Technology; McGill University; University of Wisconsin-Milwaukee","keywords":"Computer science; Subject (documents); World Wide Web; Information retrieval; USable; Subject access; Digital library; Library catalog; Leverage (statistics); Controlled vocabulary; Vocabulary; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00335692,0.0003985976,0.0003571804,0.003093463,0.001215134,0.01034848,0.00152324,0.0008468162,0.007836342],"category_scores_gemma":[0.01412415,0.0006265723,0.0005384139,0.00319642,0.002303048,0.01957729,0.004925167,0.001444288,0.002493074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704734,"about_ca_system_score_gemma":0.002143173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00334123,"about_ca_topic_score_gemma":0.007648139,"domain_scores_codex":[0.9983026,0.0005940736,0.0001257645,0.000210138,0.0006557709,0.000111676],"domain_scores_gemma":[0.9900475,0.002973454,0.0006587098,0.004722844,0.001054103,0.0005434312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001406797,0.0002717168,0.007129401,0.0005718196,0.00003157633,0.0005455883,0.02070117,0.002599842,0.01987869,0.4033512,0.01372868,0.5310495],"study_design_scores_gemma":[0.00008298975,0.0004588542,0.01228219,0.0006145297,0.0001202183,0.002063441,0.008059308,0.02951973,0.01651519,0.1570557,0.7730446,0.0001832699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1430839,0.00108813,0.6554475,0.006960155,0.0002156566,0.0005074819,0.000391008,0.009222185,0.1830839],"genre_scores_gemma":[0.3418693,0.000669546,0.6367513,0.0004741505,0.000106585,0.0001878939,0.0006331232,0.001086124,0.01822202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9896515,"threshold_uncertainty_score":0.0262152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215206079517326,"score_gpt":0.2459651927873085,"score_spread":0.2338131319921353,"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."}}