{"id":"W7164902877","doi":"10.1080/17153379.2010.12558791","title":"Ultra-Low Fertility in Pacific Asia: Trends, Causes and Policy Issues.","year":2010,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fertility; Total fertility rate; Population; Developed country","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":[0.001520056,0.000197026,0.0003276143,0.001224663,0.0008106553,0.001406253,0.0006678954,0.0009896929,0.003942282],"category_scores_gemma":[0.003609081,0.0002027539,0.0003271717,0.003371411,0.0008614418,0.001343899,0.001127585,0.001926499,0.0002972256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619585,"about_ca_system_score_gemma":0.005822405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09904869,"about_ca_topic_score_gemma":0.121324,"domain_scores_codex":[0.99946,0.000212907,0.00004831086,0.00004178939,0.00008162302,0.0001553663],"domain_scores_gemma":[0.9980956,0.0004646557,0.0006123616,0.00005511685,0.0003480512,0.0004242097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002762906,0.0002110787,0.728048,0.003110855,0.000299017,0.001014108,0.006536893,0.0006250191,0.0004038534,0.0148043,0.07637222,0.1682984],"study_design_scores_gemma":[0.00003698393,0.0001484475,0.9267663,0.002428996,0.000217753,0.0008975166,0.01712367,0.0006619854,0.0002583016,0.004684145,0.04673481,0.00004112429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3880205,0.2429973,0.001232042,0.301392,0.001796284,0.0001369955,0.02168307,0.0002003688,0.04254148],"genre_scores_gemma":[0.8399045,0.1451293,0.0009660053,0.006309547,0.00115194,0.0001645371,0.003789268,0.00002735652,0.002557523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09904869,"threshold_uncertainty_score":0.1969443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009467663705076053,"score_gpt":0.2805227835708389,"score_spread":0.2710551198657628,"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."}}