{"id":"W2995695478","doi":"10.18438/eblip29510","title":"An Analysis of Digital Library Publishing Services in Ukrainian Universities","year":2019,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Taras Shevchenko National University of Kyiv; University of Northern British Columbia","keywords":"Publishing; Library science; Computer-assisted web interviewing; Ukrainian; Digital library; Electronic publishing; Scope (computer science); Work (physics); Open access publishing; Public relations; Medical education; World Wide Web; Computer science; Business; Political science; The Internet; Engineering; Medicine; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.002731771,0.000141316,0.0003712858,0.01181009,0.001636555,0.00392594,0.0005272118,0.000301376,0.00196734],"category_scores_gemma":[0.01078189,0.0001707036,0.0002914948,0.0212596,0.0007783051,0.001748129,0.001879558,0.0002805842,0.0004061671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006029111,"about_ca_system_score_gemma":0.006871603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02429909,"about_ca_topic_score_gemma":0.01928117,"domain_scores_codex":[0.9967564,0.000825429,0.0005887767,0.000257741,0.001091176,0.0004804947],"domain_scores_gemma":[0.9867633,0.004662724,0.003485084,0.0004131784,0.003709007,0.0009667111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001685529,0.0001249157,0.7088142,0.001383019,0.00007937085,0.002671525,0.1410723,0.000364438,0.001503578,0.002792357,0.00193585,0.1390898],"study_design_scores_gemma":[0.000003198519,0.00005732425,0.8126237,0.0002613722,0.00003447132,0.0007063734,0.1618708,0.0004668879,0.0009592356,0.0002186885,0.02277808,0.00001987109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941665,0.000950327,0.0001967393,0.0002121315,0.000008104208,0.00003071682,0.000481642,0.00002082253,0.003932966],"genre_scores_gemma":[0.9978636,0.0005353312,0.0003018311,0.00004178604,0.000008682416,0.00001688806,0.0003837727,0.000007569464,0.0008405806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9960741,"threshold_uncertainty_score":0.04831529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007544043500212657,"score_gpt":0.2152287203663686,"score_spread":0.2076846768661559,"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."}}