{"id":"W4321501394","doi":"10.1111/padr.12541","title":"Declining Quantity and Quality of Births in Chile amidst the COVID‐19 Pandemic","year":2023,"lang":"en","type":"article","venue":"Population and Development Review","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pandemic; Fertility; Demography; Context (archaeology); Total fertility rate; Population; Birth rate; Coronavirus disease 2019 (COVID-19); Geography; Psychological intervention; Mortality rate; Child mortality; Medicine; Family planning; Sociology; Research methodology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004062762,0.00004624952,0.0001973813,0.00003496309,0.0002889797,0.00001536189,0.00004741775,0.0000292584,0.00004841984],"category_scores_gemma":[0.001211614,0.000032561,0.00001449711,0.0002627732,0.00005178765,0.00005859582,0.00003154953,0.00004929894,0.000005081975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004761215,"about_ca_system_score_gemma":0.0001503139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0117195,"about_ca_topic_score_gemma":0.03799749,"domain_scores_codex":[0.9989174,0.0002674434,0.0004170603,0.0001005065,0.0001630265,0.0001345476],"domain_scores_gemma":[0.9994094,0.0003187314,0.0001177422,0.00005327118,0.00001649617,0.00008431651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001105202,0.000002660182,0.9650859,0.001035872,0.000001390867,8.978291e-8,0.001811356,4.717487e-7,5.288131e-8,0.01065157,0.0001226524,0.02128688],"study_design_scores_gemma":[0.00007601005,0.000001083956,0.8868065,0.000267622,0.000001515963,1.553868e-7,0.0005148272,0.000002790799,4.79868e-8,0.0002359691,0.1120525,0.00004096854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967248,0.02544671,0.00003067677,0.006229695,0.00009157186,0.0004296506,0.000002496897,0.00005213344,0.000469106],"genre_scores_gemma":[0.8446469,0.1507713,0.0001544009,0.004261276,0.00001277131,0.00001609616,0.00001452739,0.000002283118,0.0001204957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1253246,"threshold_uncertainty_score":0.9948615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3807424287478302,"score_gpt":0.5085484171996469,"score_spread":0.1278059884518167,"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."}}