{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006803109,0.0001703981,0.0002149726,0.00009300292,0.0006169174,0.0001417395,0.0004037842,0.0001687846,0.006309267],"category_scores_gemma":[0.0002129951,0.0001749362,0.0001043663,0.0002465055,0.0004223788,0.0002976435,0.00005149463,0.0001761398,0.00598953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439842,"about_ca_system_score_gemma":0.00006481683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001504235,"about_ca_topic_score_gemma":0.0001257438,"domain_scores_codex":[0.9982173,0.0001249472,0.0002986027,0.0003772486,0.0003496594,0.0006322775],"domain_scores_gemma":[0.9991546,0.0001522745,0.0001287003,0.0003051447,0.00004620038,0.0002130917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001041039,0.0002812163,0.02674607,0.00002101194,0.0001363766,0.00005780897,0.2684964,0.000007181313,0.00008064821,0.1066073,0.5106582,0.08689735],"study_design_scores_gemma":[0.0002937722,0.00001616928,0.0005610167,0.00002229685,0.00001243825,0.000002988317,0.3640986,0.00006443206,0.00004872016,0.00295814,0.6315355,0.0003859592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00316651,0.0001893433,0.00004390684,0.003631872,0.001630755,0.0002291112,0.000006546442,0.0003320655,0.9907699],"genre_scores_gemma":[0.909517,0.0003716605,0.001205832,0.00006858494,0.0003746524,0.00002616284,0.000004565101,0.00002563496,0.08840588],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9063505,"threshold_uncertainty_score":0.9947844,"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."}}