{"id":"W7016264140","doi":"","title":"Канадський досвід архівного описування (на прикладі електронних колекцій архівної україніки в Канаді) (The Canadian experience in archive description (on the sample ofelectronic collections of archives of ukrainica in Canada))","year":2013,"lang":"uk","type":"other","venue":"Digital Repository of Ostroh Academy (Ostroh Academy)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Digital collections; Ukrainian; Resource (disambiguation); Digital Archives; Diaspora; Digital library; Information resource","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001226178,0.002846432,0.00397822,0.004683907,0.001268486,0.0004804212,0.006120045,0.002291863,0.0006549972],"category_scores_gemma":[0.003429959,0.002428255,0.001350983,0.005231322,0.006247555,0.001234794,0.0008587003,0.009399869,0.000143419],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006780187,"about_ca_system_score_gemma":0.02381973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9249176,"about_ca_topic_score_gemma":0.9355645,"domain_scores_codex":[0.979345,0.002383919,0.006668561,0.003091458,0.003883078,0.004628034],"domain_scores_gemma":[0.9832934,0.006450371,0.006287833,0.002107105,0.0002801261,0.001581139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01352264,0.00679586,0.3651369,0.004419764,0.009929882,0.0004003234,0.06398664,0.01330121,0.198082,0.08486369,0.2197357,0.01982543],"study_design_scores_gemma":[0.01111254,0.003821437,0.3474326,0.01603417,0.001435363,0.0006956636,0.0301021,0.005095085,0.1082995,0.009612817,0.4572276,0.009131171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.666023,0.006932848,0.00008021884,0.003335082,0.001366841,0.01293341,0.01239049,0.0001784871,0.2967597],"genre_scores_gemma":[0.9689026,0.0006859233,0.0002019669,0.000358514,0.0005601991,0.001276166,0.0002535873,0.001033894,0.02672715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3028797,"threshold_uncertainty_score":0.9992573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719538229850653,"score_gpt":0.2430313947294922,"score_spread":0.2158360124309857,"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."}}