{"id":"W3042051499","doi":"10.22370/rgp.2014.3.2.2243","title":"Construyendo una burocracia más eficaz en Chile: lecciones del caso de Singapur","year":2020,"lang":"es","type":"article","venue":"Revista de Gestión Pública","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.001308113,0.0002005447,0.0002270027,0.001261158,0.003885506,0.005740168,0.0004480014,0.0006503121,0.01055651],"category_scores_gemma":[0.002988818,0.0001439529,0.0001607473,0.002164602,0.005478171,0.00267992,0.003369646,0.001157076,0.0005167599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01083363,"about_ca_system_score_gemma":0.01026183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09525889,"about_ca_topic_score_gemma":0.1591715,"domain_scores_codex":[0.9990177,0.0002496259,0.00002491736,0.00009310358,0.0002110646,0.0004036046],"domain_scores_gemma":[0.9987387,0.0002792187,0.0003034014,0.00009240821,0.0003021569,0.0002842009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000260248,0.0001095292,0.123062,0.0007129735,0.0000460744,0.004159614,0.2581483,0.001219539,0.001534065,0.4762068,0.02055122,0.1139895],"study_design_scores_gemma":[0.00003166962,0.0001148744,0.2602417,0.0008228203,0.00002972,0.0004902798,0.2548076,0.00100871,0.0009672386,0.03378873,0.4476196,0.000077094],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7390049,0.003248932,0.0007174749,0.01134587,0.00005401855,0.00005454668,0.0003386976,0.00003306114,0.2452026],"genre_scores_gemma":[0.9790376,0.0009616144,0.0001726057,0.0001652946,0.00001762075,0.00002092558,0.00005876653,0.00001230942,0.01955325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09525889,"threshold_uncertainty_score":0.1894088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922911807502171,"score_gpt":0.3035120750993375,"score_spread":0.2842829570243158,"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."}}