{"id":"W3000665563","doi":"10.22055/slis.2019.30348.1632","title":"شناسایی و تحلیل مولفههای اصلی مدیریت دانش در بخش عمومی و دولتی کشورها با رویکرد مطالعه تطبیقی","year":2019,"lang":"fa","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002947812,0.0004926129,0.0005221747,0.0005765561,0.005678545,0.003360422,0.003452416,0.0002937326,0.1090816],"category_scores_gemma":[0.00101168,0.0005550808,0.0002588608,0.002119015,0.0006045424,0.001089506,0.004203161,0.000856135,0.1964919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586103,"about_ca_system_score_gemma":0.00002762739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002205289,"about_ca_topic_score_gemma":0.00001651063,"domain_scores_codex":[0.9937822,0.001267109,0.0007242353,0.001288864,0.001443713,0.001493832],"domain_scores_gemma":[0.9968029,0.0001028432,0.0003611414,0.001163609,0.0009779023,0.0005916508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000206561,0.0007532082,0.0004862627,0.0005809226,0.0003741817,0.00007204761,0.02689552,0.00009310772,0.002647915,0.09373619,0.6864957,0.1876584],"study_design_scores_gemma":[0.00100164,0.0003396302,0.00119198,0.0001652711,0.00007199035,0.00001136245,0.00625628,0.0008787007,0.0001825368,0.0005615943,0.9886777,0.0006613586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04993187,0.0006299198,0.0004425251,0.002423686,0.001455472,0.001563208,0.0001591821,0.001408622,0.9419855],"genre_scores_gemma":[0.8668228,0.0008761004,0.0001386367,0.0003920398,0.001287191,1.692617e-7,0.000879957,0.002332412,0.1272707],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.816891,"threshold_uncertainty_score":0.9996901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04469202109385806,"score_gpt":0.2697943473529742,"score_spread":0.2251023262591161,"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."}}