{"id":"W7164919463","doi":"10.1080/17153379.2013.12556946","title":"Population Policy and Reproduction in Singapore: Making Future Citizens. Routledge Contemporary Southeast Asia Series.","year":2013,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Southeast asia; Reproduction; Population; Population growth","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":[0.001161733,0.0004558346,0.0003725324,0.0005333429,0.001171487,0.002480717,0.0005496468,0.001583109,0.01955637],"category_scores_gemma":[0.002886012,0.0002300882,0.0002613124,0.001803848,0.001787025,0.003489304,0.001680711,0.00195226,0.003281952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077036,"about_ca_system_score_gemma":0.004882453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03828647,"about_ca_topic_score_gemma":0.07144526,"domain_scores_codex":[0.9996551,0.0001936834,0.00003349083,0.00002590756,0.00004481999,0.00004699716],"domain_scores_gemma":[0.9988613,0.0004837047,0.0001442125,0.00008714714,0.000193517,0.000230116],"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":[0.00003757516,0.00003071136,0.003375116,0.0007021775,0.00001436486,0.0004624085,0.01192846,0.000454238,0.0002301259,0.06372242,0.7612931,0.1577493],"study_design_scores_gemma":[0.000004868215,0.00002820616,0.01023301,0.001118337,0.00001828584,0.0001301641,0.010487,0.000216104,0.0002563254,0.0165005,0.9609903,0.00001696247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01423336,0.4384013,0.001312252,0.3039515,0.009663947,0.00004139023,0.002186181,0.000181622,0.2300283],"genre_scores_gemma":[0.2588468,0.3826126,0.001118502,0.01208894,0.004998427,0.0001560197,0.001449221,0.0001553743,0.338574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03828647,"threshold_uncertainty_score":0.07612723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840504233370878,"score_gpt":0.2687695619384353,"score_spread":0.2503645196047265,"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."}}