{"id":"W3085388717","doi":"","title":"PENGELOLAAN DATA PENELITIAN DI PERPUSTAKAAN: TANTANGAN DAN PERSIAPANNYA BAGI PUSTAKAWAN","year":2020,"lang":"id","type":"article","venue":"VISI PUSTAKA Buletin Jaringan Informasi Antar Perpustakaan","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data management; Research data; Competence (human resources); Digital library; Service (business); Library science; Knowledge management; Computer science; Business; World Wide Web; Data curation; Management; Marketing; Database","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity"],"category_scores_codex":[0.004288508,0.003604671,0.003404347,0.001562508,0.003240654,0.004246735,0.02018445,0.00230649,0.0005803427],"category_scores_gemma":[0.002923334,0.003971939,0.00106795,0.004963734,0.002221626,0.008127238,0.01185009,0.006011492,0.002815469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485514,"about_ca_system_score_gemma":0.003421538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008522022,"about_ca_topic_score_gemma":0.000616154,"domain_scores_codex":[0.977219,0.00114813,0.005179928,0.006215195,0.004663412,0.005574373],"domain_scores_gemma":[0.9806241,0.0008092269,0.0028524,0.01000822,0.001990714,0.003715308],"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":[0.002142123,0.004180646,0.1661586,0.01136741,0.00689945,0.01213856,0.206288,0.002290552,0.01325734,0.1920379,0.2714137,0.1118257],"study_design_scores_gemma":[0.004696745,0.001304094,0.009546189,0.0009290467,0.0006225047,0.001439478,0.03443669,0.1013656,0.002615335,0.00009411744,0.8377569,0.00519328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4794888,0.01359785,0.04230719,0.248671,0.02467476,0.02014774,0.00446156,0.01702684,0.1496242],"genre_scores_gemma":[0.9674485,0.001068154,0.009142759,0.008288002,0.003440241,0.0001268109,0.002787356,0.00059156,0.007106642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5663432,"threshold_uncertainty_score":0.9989887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06702623326598389,"score_gpt":0.2665704508645598,"score_spread":0.1995442175985759,"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."}}