{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001957472,0.0004749896,0.0002671935,0.00148807,0.001937901,0.00542909,0.0004503825,0.001197933,0.08421925],"category_scores_gemma":[0.005882385,0.0004747067,0.0004293748,0.001908643,0.002893686,0.002596953,0.001727578,0.00305251,0.04974891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330877,"about_ca_system_score_gemma":0.005277425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005462126,"about_ca_topic_score_gemma":0.005317068,"domain_scores_codex":[0.9979329,0.0003638022,0.0002239814,0.0002213614,0.001020857,0.0002371312],"domain_scores_gemma":[0.996378,0.0008601794,0.0005497372,0.000284858,0.001652393,0.0002748454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007409099,0.0002445929,0.005208654,0.002048613,0.00006433624,0.006599742,0.02900008,0.0009956796,0.06526222,0.2171498,0.07865331,0.5940321],"study_design_scores_gemma":[0.00003035707,0.00008541803,0.01288533,0.0008593348,0.00002595753,0.002500841,0.01432682,0.0004794143,0.01508368,0.01907413,0.934553,0.00009568081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1024304,0.009237551,0.07048534,0.01917447,0.006138569,0.0007453523,0.001714235,0.0009623886,0.7891117],"genre_scores_gemma":[0.4549037,0.02231514,0.06571542,0.00302973,0.002067896,0.001113099,0.002177961,0.001786047,0.446891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08421925,"threshold_uncertainty_score":0.2817414,"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."}}