{"id":"W7005232429","doi":"","title":"Peculiarities of Europeana Metadata as a Set of Information for Describing Digital Cultural Heritage","year":2023,"lang":"en","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Digitization; Cultural heritage; Digital library; Relevance (law); European union; Function (biology); Process (computing)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005165824,0.0004247291,0.0004443715,0.01223544,0.002384318,0.01268932,0.0009684191,0.001034622,0.00296419],"category_scores_gemma":[0.01551669,0.0004085524,0.000981451,0.01773834,0.004934283,0.0182993,0.005230328,0.001451608,0.0008080339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003270303,"about_ca_system_score_gemma":0.004055048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008722521,"about_ca_topic_score_gemma":0.0083989,"domain_scores_codex":[0.9929805,0.002388415,0.001626302,0.001063215,0.001682159,0.0002593826],"domain_scores_gemma":[0.9907177,0.003301798,0.001196137,0.002743872,0.00176726,0.000273153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005338905,0.00003737878,0.01477575,0.0004632467,0.00005863277,0.0003204118,0.008715989,0.0009838347,0.0014074,0.8795722,0.004425897,0.08918587],"study_design_scores_gemma":[0.00001207787,0.00004381167,0.01569671,0.001385118,0.0001475026,0.001752774,0.01422858,0.005463293,0.003986396,0.2867292,0.6704405,0.0001140082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1854365,0.01708008,0.4307365,0.008463584,0.001190613,0.0006724588,0.01619038,0.001814405,0.3384155],"genre_scores_gemma":[0.7244816,0.006608594,0.2305091,0.0006811993,0.0002482088,0.0005123426,0.01240698,0.0005214008,0.02403051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9873106,"threshold_uncertainty_score":0.02731985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0986065790482442,"score_gpt":0.3118798870521239,"score_spread":0.2132733080038797,"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."}}