{"id":"W4403707589","doi":"10.1016/j.heliyon.2024.e39776","title":"Unveiling the complexity of civil service effectiveness index: An asymmetric and ANN modeling","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"Open Society Foundations","keywords":"Index (typography); Civil service; Service (business); Artificial intelligence; Engineering; Management; Engineering management; Industrial engineering; Operations research; Computer science; Political science; Economics; Business; Public administration; Marketing; Public service; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001405819,0.0008015331,0.0005282565,0.001883797,0.000580197,0.002018598,0.001208146,0.001122995,0.002703995],"category_scores_gemma":[0.003564412,0.0004055805,0.001157128,0.001551913,0.0008288943,0.001478869,0.001069644,0.00111023,0.0002159748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211124,"about_ca_system_score_gemma":0.001152194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963245,"about_ca_topic_score_gemma":0.01147634,"domain_scores_codex":[0.9992906,0.0002627783,0.00003123271,0.0001477454,0.0001493701,0.0001182282],"domain_scores_gemma":[0.9986975,0.0008070366,0.0002001822,0.00006841784,0.0001681206,0.00005871935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005628791,0.0001199626,0.02237378,0.00005334714,0.00009888299,0.0002952222,0.0002039808,0.9392175,0.0009308721,0.01923356,0.0004599072,0.01695666],"study_design_scores_gemma":[0.000001335314,0.000009865696,0.001690047,0.000004568706,0.000008847542,0.0000191497,0.00003243047,0.9961455,0.0000840953,0.001830689,0.000168101,0.00000532327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7339653,0.0003843385,0.237769,0.0007102496,0.00006409345,0.000151389,0.0003847492,0.0001855364,0.02638537],"genre_scores_gemma":[0.9877428,0.0001259744,0.009747661,0.00002516353,0.00001262245,0.00005852019,0.00009243442,0.00001441408,0.00218044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01963245,"threshold_uncertainty_score":0.03903639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2373820980011475,"score_gpt":0.4691815910124081,"score_spread":0.2317994930112606,"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."}}