{"id":"W4401267581","doi":"10.47315/archives2024.339.007","title":"Appraisal and Selection of Audiovisual Documents in the Focus of Foreign Historiography","year":2024,"lang":"en","type":"article","venue":"Archivi Ukraїni","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Historiography; Objectivity (philosophy); Originality; Selection (genetic algorithm); Value (mathematics); Historicism; Context (archaeology); Epistemology; History; Sociology; Computer science; Political science; Social science; Law; Artificial intelligence; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.01698647,0.0006105731,0.000505366,0.0140787,0.003258592,0.009090981,0.0009255163,0.0006204761,0.004984322],"category_scores_gemma":[0.05441661,0.0001677716,0.0002165932,0.01467603,0.003927684,0.003654644,0.002592847,0.0009214757,0.0007045208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005525952,"about_ca_system_score_gemma":0.007324182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007725637,"about_ca_topic_score_gemma":0.009730479,"domain_scores_codex":[0.980861,0.01133952,0.0009157851,0.0006657525,0.00560047,0.0006174326],"domain_scores_gemma":[0.9517397,0.02584357,0.00443935,0.002297811,0.01470904,0.0009705612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004045634,0.00005467867,0.01185216,0.003845856,0.00004421402,0.001188624,0.1404501,0.0004261449,0.004136044,0.05920973,0.0199036,0.7584842],"study_design_scores_gemma":[0.00002999836,0.0002309527,0.04246915,0.006249099,0.0001449717,0.0008789693,0.2733031,0.0006818011,0.00711296,0.0157903,0.6530131,0.00009543511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.469114,0.09949788,0.03426282,0.02021832,0.005600799,0.001630083,0.001822904,0.0003786585,0.3674746],"genre_scores_gemma":[0.9135304,0.02806409,0.02075161,0.0006861953,0.002390451,0.0005657427,0.0007091241,0.0001633152,0.03313903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01698647,"threshold_uncertainty_score":0.08983415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654816755756914,"score_gpt":0.23629832822936,"score_spread":0.2197501606717909,"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."}}