{"id":"W3116620419","doi":"","title":"Оценка эффективности деятельности государственных органов Республики Казахстан: особенности действующей модели","year":2018,"lang":"ru","type":"article","venue":"Вестник университета «Туран»","topic":"Healthcare, Law, Governance, and Management Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Process (computing); State (computer science); Quality (philosophy); Service (business); Process management; Business; Public service; Risk analysis (engineering); Management science; Public administration; Computer science; Political science; Engineering; Marketing","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":[0.001884574,0.0004396822,0.0003628302,0.002095755,0.002119134,0.00593887,0.0006399317,0.001264129,0.01314151],"category_scores_gemma":[0.004018457,0.0004861812,0.0005044288,0.002003017,0.005189804,0.002622748,0.001992774,0.002171862,0.006051025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00240486,"about_ca_system_score_gemma":0.003025294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005054554,"about_ca_topic_score_gemma":0.004970851,"domain_scores_codex":[0.9976941,0.0006104975,0.0001247016,0.0003230676,0.001045811,0.0002019595],"domain_scores_gemma":[0.9986171,0.000498324,0.0001644351,0.0002336581,0.0003880919,0.00009845139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004111458,0.00002901846,0.0006257718,0.000207561,0.00001356987,0.0004293445,0.004153293,0.0008693127,0.002904175,0.8800245,0.005757389,0.1049448],"study_design_scores_gemma":[0.00001604632,0.00005346551,0.00195901,0.0003074572,0.0000264155,0.0007687768,0.002217276,0.001146523,0.003694105,0.2873319,0.7024024,0.00007671358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04496313,0.03356679,0.1706735,0.009389062,0.002804595,0.0001989724,0.000355554,0.0005839458,0.7374644],"genre_scores_gemma":[0.6934112,0.02451801,0.1226095,0.0008487646,0.001227637,0.0004023588,0.0002284019,0.0005273083,0.1562269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01314151,"threshold_uncertainty_score":0.04396272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08964608436922818,"score_gpt":0.4483834594835015,"score_spread":0.3587373751142733,"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."}}