{"id":"W2013781913","doi":"10.2307/4127227","title":"Lee’s Lieutenants: Singapore’s Old Guard.","year":2002,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Guard (computer science); Political science; Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005574437,0.0007494347,0.0002814802,0.0004510472,0.005977516,0.00337784,0.0006731456,0.002281561,0.1158796],"category_scores_gemma":[0.001105252,0.0003717533,0.0002640049,0.001093772,0.001274416,0.003526631,0.004758344,0.003407773,0.03199147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002748581,"about_ca_system_score_gemma":0.004460477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04260049,"about_ca_topic_score_gemma":0.1433343,"domain_scores_codex":[0.9996177,0.00009583204,0.00002801485,0.00004771021,0.00006949339,0.000141308],"domain_scores_gemma":[0.9993421,0.00004659936,0.00005192989,0.0000387936,0.0001132757,0.0004072241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002554516,0.00001510017,0.001218989,0.000112256,0.00000360123,0.000877308,0.00785396,0.0000271167,0.0001939053,0.01204711,0.9463261,0.03129903],"study_design_scores_gemma":[0.000001121885,0.000004269468,0.0007854492,0.00005348465,7.486446e-7,0.00007050722,0.003176732,0.000006619975,0.00002239932,0.0002379088,0.995638,0.000002843764],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01829835,0.04015167,0.0003511868,0.2174287,0.02895998,0.00009891161,0.001636789,0.0002432925,0.6928311],"genre_scores_gemma":[0.02981671,0.004243833,0.00006897696,0.01053864,0.0009304192,0.00003471327,0.0002608914,0.00007626276,0.9540296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1158796,"threshold_uncertainty_score":0.387656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288240317311221,"score_gpt":0.2586986475656124,"score_spread":0.2298746158344903,"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."}}