{"id":"W4399426007","doi":"10.7202/1111893ar","title":"Intangible Cultural Heritage in Ukraine from Community to State","year":2023,"lang":"en","type":"article","venue":"Ethnologies","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Cultural heritage; Intangible cultural heritage; Political science; Cultural heritage management; Geography; Archaeology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002052451,0.0001001305,0.000123203,0.0001116602,0.0002332252,0.0001821666,0.0002816431,0.00003035638,0.000627847],"category_scores_gemma":[0.0001317303,0.00007676944,0.00002990638,0.0001713965,0.00009288072,0.000361101,0.0003339059,0.000228929,0.0006231786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002715991,"about_ca_system_score_gemma":0.000002586437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01761036,"about_ca_topic_score_gemma":0.08988762,"domain_scores_codex":[0.9993548,0.00009214351,0.0001485569,0.0001110728,0.00008817834,0.00020524],"domain_scores_gemma":[0.999596,0.0001188622,0.00002623905,0.0002022039,0.00003800903,0.00001866675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007252518,0.00006034557,0.005134726,0.00005315925,0.00005552208,0.00003680174,0.7811285,0.0002343924,0.002024081,0.02074533,0.1568509,0.03360368],"study_design_scores_gemma":[0.0003933127,0.0001198472,0.05206451,0.00006225227,0.000006486594,7.708091e-8,0.3979139,0.0001608652,0.0005534228,0.02433797,0.5240702,0.0003170888],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686393,0.00007230488,0.000001579871,0.003892644,0.0002633687,0.0001663571,0.00004510749,0.0005679224,0.02635146],"genre_scores_gemma":[0.9777873,0.00006839719,0.00008424366,0.0003226927,0.00008007268,0.00003732653,0.0001812879,0.000008184264,0.02143056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3832146,"threshold_uncertainty_score":0.9889315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.213842251840138,"score_gpt":0.3076373146370869,"score_spread":0.09379506279694888,"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."}}