{"id":"W4312832133","doi":"10.20414/light.v2i1.5116","title":"Revitalasi Layanan Sirkulasi Perpustakaan Perguruan Tinggi","year":2022,"lang":"en","type":"article","venue":"THE LIGHT Journal of Librarianship and Information Science","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Visitor pattern; Circulation (fluid dynamics); Service (business); Library circulation; Automation; Computer science; Collection development; Center (category theory); World Wide Web; Data collection; Library science; Library automation; Multimedia; Engineering; Business; Mathematics; Statistics; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005082353,0.0005707328,0.0006366852,0.006869235,0.001714793,0.005159173,0.001282815,0.0009466868,0.01420282],"category_scores_gemma":[0.007848014,0.0002813626,0.0007270243,0.007840154,0.001038727,0.00607276,0.002220995,0.001438001,0.005056466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002822884,"about_ca_system_score_gemma":0.01059276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005424097,"about_ca_topic_score_gemma":0.008268888,"domain_scores_codex":[0.9968983,0.0009020789,0.0003346116,0.0002687962,0.001394344,0.000201811],"domain_scores_gemma":[0.9951851,0.00166399,0.0004817481,0.0003112598,0.002135208,0.0002226509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001085109,0.0001460377,0.002625548,0.01501399,0.00008245066,0.001113579,0.005226065,0.0002868309,0.001348128,0.02503229,0.05044284,0.8985737],"study_design_scores_gemma":[0.000009327051,0.00007843607,0.003849325,0.004984005,0.0001285685,0.001154646,0.004009153,0.0001515936,0.001528334,0.001309681,0.9827671,0.00002981208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04067411,0.7443311,0.008520874,0.01337428,0.005308114,0.0006958711,0.0008312846,0.0006300746,0.1856344],"genre_scores_gemma":[0.2073537,0.6906596,0.02073538,0.005690179,0.001368597,0.0005662173,0.001818916,0.0003089965,0.07149847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01420282,"threshold_uncertainty_score":0.04751319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133054643689394,"score_gpt":0.2589846248693548,"score_spread":0.2376540784324609,"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."}}