{"id":"W4387789622","doi":"10.35772/ghm.2023.01058","title":"Low fertility and fertility policies in the Asia-Pacific region","year":2023,"lang":"en","type":"review","venue":"Global Health & Medicine","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Fertility; Work (physics); Face (sociological concept); Population; Political science; Economic growth; Development economics; Economics; Sociology; Demography; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004752124,0.0003529511,0.001509309,0.0001772341,0.0006192262,0.00005341585,0.0006478055,0.0003176599,0.00002099255],"category_scores_gemma":[0.0004023914,0.0002016354,0.0001579903,0.002476725,0.00118083,0.000071644,0.00006315357,0.0005133474,0.00001642631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00033382,"about_ca_system_score_gemma":0.001143491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04190896,"about_ca_topic_score_gemma":0.0749703,"domain_scores_codex":[0.9946408,0.002168166,0.0009359698,0.0006080388,0.0008197205,0.0008272803],"domain_scores_gemma":[0.9982669,0.0004619782,0.0003769796,0.0004949151,0.00005263654,0.0003465636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007901858,0.00003837718,0.0009559758,0.00462133,0.00001733251,0.000009198838,0.007293281,7.888342e-9,2.194216e-10,0.002841907,0.007947199,0.9762675],"study_design_scores_gemma":[0.0001467295,0.0001045675,0.07355832,0.00635445,0.00006725121,0.000005573472,0.01048718,3.813124e-7,4.487788e-10,0.006028816,0.903094,0.0001527605],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000160879,0.9641712,0.000004651148,0.02133078,0.0006632148,0.001062323,0.00006184677,0.0001138356,0.01243132],"genre_scores_gemma":[0.01190311,0.986864,0.000003535706,0.0005227659,0.0002867395,0.00007530893,0.00005091765,0.000009822565,0.0002837667],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9761147,"threshold_uncertainty_score":0.964471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1808673596211357,"score_gpt":0.4717839247380278,"score_spread":0.2909165651168921,"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."}}