{"id":"W4390348402","doi":"10.15802/unilib/2023_293141","title":"Publications of the Taras Shevchenko Scientific Society as Historical Sources of Research on the Book Heritage of Ukraine","year":2023,"lang":"en","type":"article","venue":"UNIVERSITY LIBRARY AT A NEW STAGE OF SOCIAL COMMUNICATIONS DEVELOPMENT CONFERENCE PROCEEDINGS","topic":"Library Science and Information","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Library science; Subject (documents); Publishing; Object (grammar); World War II; History; Political science; Classics; Archaeology; Law; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001423214,0.0002738177,0.0003577145,0.00558674,0.002936151,0.006932999,0.0003963091,0.0003947515,0.008858234],"category_scores_gemma":[0.00349771,0.0001909144,0.0001815936,0.01138668,0.002402612,0.003127838,0.002660793,0.0009153534,0.001912436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003142839,"about_ca_system_score_gemma":0.005818123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002992335,"about_ca_topic_score_gemma":0.004770361,"domain_scores_codex":[0.9986332,0.0004515576,0.0001141036,0.0001437277,0.0005450061,0.0001123967],"domain_scores_gemma":[0.9977967,0.0007906921,0.0004297311,0.0003454489,0.0004881111,0.0001493177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009797591,0.00004185687,0.01269601,0.002088552,0.0000608167,0.001416395,0.06050937,0.0004251004,0.001562661,0.460535,0.07435218,0.386214],"study_design_scores_gemma":[0.000002258288,0.00001382356,0.0146632,0.0009411662,0.00002522222,0.0007852149,0.00785918,0.00009328233,0.0008041639,0.01168209,0.9631176,0.00001294543],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1406125,0.1897279,0.005149778,0.008276589,0.002780302,0.0001004554,0.002150061,0.0002823415,0.6509201],"genre_scores_gemma":[0.7508534,0.09745153,0.004775436,0.0007617575,0.001777354,0.0001205223,0.002142104,0.0003010308,0.1418169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9970639,"threshold_uncertainty_score":0.02963376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044450006678658,"score_gpt":0.2718413584830107,"score_spread":0.1673963578151449,"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."}}