{"id":"W4412768658","doi":"10.5509/2025983-art6","title":"Perspective Gerrymandering and its Effects in Singapore’s 2025 General Elections","year":2025,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Gerrymandering; Political science; General election; Political economy; Demographic economics; Economics; Law; Politics; Democracy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003895444,0.0001006481,0.0001496662,0.0001932338,0.000394867,0.00007349715,0.0001022472,0.00009549841,0.00006385434],"category_scores_gemma":[0.0002614744,0.0001178096,0.00003256734,0.0003609399,0.0001237714,0.0001477738,0.00004306469,0.0001522594,0.00003553704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007711932,"about_ca_system_score_gemma":0.0002550777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003823645,"about_ca_topic_score_gemma":0.0009467095,"domain_scores_codex":[0.9990624,0.0001128568,0.0001399341,0.0002836295,0.00009743857,0.0003037544],"domain_scores_gemma":[0.9995843,0.0001974172,0.00003726879,0.00007650512,0.00004408395,0.00006041673],"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":[0.00001690366,0.00008351922,0.04335307,0.00004302682,0.00009281068,0.00001428496,0.1192436,0.00003500041,0.0004309958,0.8292989,0.003435497,0.003952435],"study_design_scores_gemma":[0.0009625818,0.00002761513,0.04025855,0.0001270183,0.00002950159,0.000001864221,0.8921601,0.0006682021,0.0005411137,0.05041435,0.01431983,0.0004893031],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1008077,0.00060796,0.0001521615,0.001388145,0.0008126122,0.0003587534,8.945812e-7,0.00009468188,0.895777],"genre_scores_gemma":[0.9816814,0.0001533338,0.000381075,0.00001924408,0.00007704164,0.00005701041,9.512586e-7,0.00000700379,0.01762293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8808737,"threshold_uncertainty_score":0.4804134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182361162596121,"score_gpt":0.2954073068246522,"score_spread":0.283583695198691,"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."}}