{"id":"W2082736143","doi":"10.7152/nasko.v3i1.12790","title":"Social discovery tools: Cataloguing meets user convenience","year":2011,"lang":"en","type":"article","venue":"NASKO","topic":"Web and Library Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"World Wide Web; Computer science; Transaction log; Database transaction; Focus (optics); User satisfaction; Data science; Internet privacy; Database; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001042003,0.00009620655,0.000106237,0.00004116005,0.0001356135,0.0002250189,0.0009669861,0.00005233416,0.00003459808],"category_scores_gemma":[0.000008924042,0.00008412871,0.00005138531,0.0002147243,0.00004284999,0.004271872,0.0003141023,0.00008335365,0.0001650049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009779221,"about_ca_system_score_gemma":0.0000542974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001261999,"about_ca_topic_score_gemma":0.00002161252,"domain_scores_codex":[0.9991459,0.00003534676,0.0001305483,0.0002769811,0.0001732512,0.00023792],"domain_scores_gemma":[0.9995446,0.00003481045,0.00005794659,0.0002905682,0.000019629,0.00005245814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001484222,0.0001052321,0.008305274,0.00003307591,0.00002502294,0.00007548399,0.01680614,0.000001614541,0.001185625,0.9531489,0.005152095,0.0151467],"study_design_scores_gemma":[0.001335697,0.0002811413,0.4908493,0.00008411716,0.00002651112,0.00005787493,0.0007978089,0.002816618,0.04771677,0.01852034,0.4360313,0.00148257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8898889,0.0003366124,0.03321759,0.003137492,0.001377543,0.0002282035,0.00001409543,0.0005744828,0.07122509],"genre_scores_gemma":[0.9919776,0.000003565346,0.006057438,0.0009893989,0.0001322197,0.000005912749,0.000004352715,0.000006202956,0.0008233228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9346285,"threshold_uncertainty_score":0.3430669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05582756286040792,"score_gpt":0.2381666132523515,"score_spread":0.1823390503919436,"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."}}