{"id":"W2995649522","doi":"","title":"PERPUSTAKAAN DATA : SEBUAH PENGAMAT TERHADAP UNIVERSITY OF TORONTO MAP AND DATA LIBRARY","year":2019,"lang":"ms","type":"article","venue":"VISI PUSTAKA Buletin Jaringan Informasi Antar Perpustakaan","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital library; Indonesian; Library science; Computer science; World Wide Web; Library classification; Information retrieval; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006706652,0.000384225,0.0004003469,0.003019607,0.003356235,0.007843619,0.0005649522,0.0004988891,0.08454799],"category_scores_gemma":[0.003218137,0.0003780257,0.000184457,0.01476647,0.0008699719,0.00407323,0.002436528,0.0007419378,0.02604403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006024741,"about_ca_system_score_gemma":0.008998592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1780518,"about_ca_topic_score_gemma":0.2754081,"domain_scores_codex":[0.9990999,0.00006886195,0.00007666034,0.0001777812,0.0004875154,0.00008939087],"domain_scores_gemma":[0.9972772,0.0004113448,0.000216349,0.0004432464,0.001221116,0.0004307906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001628116,0.00004529546,0.01567848,0.0008988874,0.00002010983,0.001020589,0.01067427,0.0004199014,0.001731612,0.02071026,0.6850184,0.2636195],"study_design_scores_gemma":[0.00000262072,0.000005190714,0.007836979,0.0000754066,0.000005868089,0.0001394971,0.002332201,0.0001740935,0.000924045,0.0003703033,0.9881187,0.00001503439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04844647,0.008886078,0.01527601,0.01584049,0.001875345,0.0003402661,0.09317032,0.007788572,0.8083764],"genre_scores_gemma":[0.2047349,0.01280103,0.02128429,0.0009801306,0.0004671157,0.0002271745,0.05388354,0.002509235,0.7031126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1780518,"threshold_uncertainty_score":0.3540308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02687158625165216,"score_gpt":0.2381429911504352,"score_spread":0.2112714048987831,"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."}}