{"id":"W4308554341","doi":"10.1080/00324728.2022.2134579","title":"Sooner, later, or never: Changing fertility intentions due to Covid-19 in China’s Covid-19 epicentre","year":2022,"lang":"en","type":"article","venue":"Population Studies","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); China; Pandemic; Epicenter; Fertility; History; Demography; Virology; Medicine; Sociology; Outbreak; Infectious disease (medical specialty); Engineering; Disease; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008416862,0.0001645419,0.0001501605,0.0005121969,0.0005335408,0.0004193482,0.0002762909,0.0002716245,0.0009415313],"category_scores_gemma":[0.001672892,0.0001477178,0.0003497334,0.0007378876,0.0003927388,0.0004345924,0.0004720517,0.0004993963,0.00008774456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009732108,"about_ca_system_score_gemma":0.001188522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07066803,"about_ca_topic_score_gemma":0.1419476,"domain_scores_codex":[0.9996471,0.0000882803,0.00003070457,0.00005952054,0.00004848835,0.0001258359],"domain_scores_gemma":[0.9990842,0.0001234356,0.0003877262,0.00006326591,0.0001108025,0.0002305975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003053584,0.00001884469,0.9952513,0.00001072764,0.00002296354,0.00005322534,0.001377682,0.00005337305,0.0001053165,0.00006922363,0.0001640535,0.002842621],"study_design_scores_gemma":[0.000001636382,0.00002611281,0.9978393,0.000008322557,0.00000918494,0.00002761089,0.001492972,0.0002179826,0.00004576778,0.00003299175,0.0002925273,0.00000564679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992709,0.00007974101,0.00003374564,0.00009895049,0.000005419896,0.000006701448,0.0001706242,8.713441e-7,0.000333054],"genre_scores_gemma":[0.9996052,0.00004717029,0.00002334994,0.00003679902,0.000002660638,0.000004555951,0.0001234798,4.327932e-7,0.0001563606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07066803,"threshold_uncertainty_score":0.1405134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1893157014528331,"score_gpt":0.4299435776877886,"score_spread":0.2406278762349555,"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."}}