{"id":"W4366963047","doi":"10.32523/2789-4320-2023-1-218-233","title":"Public services in different countries of the world: a comparative analysis","year":2023,"lang":"en","type":"article","venue":"ECONOMIC Series of the Bulletin of the L N Gumilyov ENU","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Government (linguistics); State (computer science); Public administration; Political science; Economic growth; Business; Economics; 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":[0.001767228,0.0001348636,0.0002828937,0.01382203,0.0009426078,0.001669248,0.0002647889,0.0003000609,0.003715213],"category_scores_gemma":[0.005549683,0.0001001182,0.0003369976,0.02672039,0.0008463262,0.00258793,0.0009976123,0.0002733373,0.0001132298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002983317,"about_ca_system_score_gemma":0.001590842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02249221,"about_ca_topic_score_gemma":0.02965901,"domain_scores_codex":[0.9978897,0.001058976,0.0001362575,0.000157138,0.0004569083,0.0003010461],"domain_scores_gemma":[0.9967986,0.001637362,0.0005115695,0.0001584447,0.0007524494,0.0001415691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004171827,0.0002066229,0.6345696,0.002067399,0.0006920691,0.00161107,0.02689444,0.001477659,0.000561733,0.1062262,0.005484581,0.2197914],"study_design_scores_gemma":[0.00001453149,0.0001986284,0.8958985,0.001161144,0.0003199865,0.0007330679,0.06069183,0.0008587072,0.0004022055,0.002509265,0.03717907,0.00003296495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320162,0.01876023,0.0009031708,0.001059373,0.00005023776,0.00005604693,0.002238452,0.00001275639,0.04490364],"genre_scores_gemma":[0.9927704,0.005490352,0.0005480485,0.00004943143,0.00001664509,0.00002141578,0.0007403056,0.000004029825,0.0003594442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02249221,"threshold_uncertainty_score":0.04472256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014146410855837,"score_gpt":0.2978908903432683,"score_spread":0.2577494262347099,"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."}}