{"id":"W7103370266","doi":"","title":"Канадський досвід архівного описування (на прикладі електронних колекцій архівної україніки в Канаді) (The Canadian experience in archive description (on the sample of&#13;\\nelectronic collections of archives of ukrainica in Canada))","year":2013,"lang":"uk","type":"article","venue":"Digital Repository of Ostroh Academy (Ostroh Academy)","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Fusible alloy; Emperipolesis; Proteogenomics","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"],"consensus_categories":[],"category_scores_codex":[0.0008031527,0.0006612465,0.001258697,0.0008581185,0.001212885,0.0001302381,0.001915398,0.0004830893,0.000125703],"category_scores_gemma":[0.002361059,0.0005520432,0.0004457001,0.002324967,0.004008635,0.0007787012,0.0002635587,0.001982557,0.000006933331],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295149,"about_ca_system_score_gemma":0.009399441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9641051,"about_ca_topic_score_gemma":0.9405099,"domain_scores_codex":[0.9921595,0.0009809268,0.00270291,0.0009296037,0.001595635,0.001631406],"domain_scores_gemma":[0.99305,0.004088534,0.001512456,0.0005496013,0.0002443781,0.0005549874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00102529,0.001667113,0.5774013,0.0007705661,0.001067534,0.00000971218,0.3247751,0.001089957,0.01080135,0.04909261,0.02408188,0.008217531],"study_design_scores_gemma":[0.001512412,0.0008499944,0.7439095,0.001376082,0.0001844726,0.00002052869,0.1850069,0.0005408016,0.01623879,0.02083792,0.02826007,0.001262519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567902,0.004333285,0.00001225499,0.007041327,0.0006115197,0.002004219,0.0005627358,0.00001765689,0.02862682],"genre_scores_gemma":[0.9965599,0.001176083,0.0000531222,0.0002516457,0.0002700016,0.0003144745,0.00002047301,0.00004627878,0.001307993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1665082,"threshold_uncertainty_score":0.9996931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364943490233797,"score_gpt":0.2749953526790276,"score_spread":0.2385010036556479,"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."}}