{"id":"W4395956537","doi":"10.1101/2024.04.26.24306444","title":"Fertility decline in the later phase of the COVID-19 pandemic: The role of policy interventions, vaccination programmes, and economic uncertainty","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Global Health Care Issues","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Pandemic; Psychological intervention; Coronavirus disease 2019 (COVID-19); Vaccination; 2019-20 coronavirus outbreak; Phase (matter); Political science; Economic growth; Economics; Environmental health; Medicine; Virology; Outbreak; Population; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002433976,0.000184274,0.0003526665,0.0006497406,0.0002711937,0.000829509,0.0003906173,0.0005208825,0.0024017],"category_scores_gemma":[0.008832369,0.0001532079,0.0007151517,0.001084145,0.000467695,0.0004873472,0.0007419442,0.001130889,0.0001475181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007721775,"about_ca_system_score_gemma":0.0007245899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117267,"about_ca_topic_score_gemma":0.01628549,"domain_scores_codex":[0.9989445,0.0004845119,0.00007645415,0.0001820807,0.00009709637,0.0002154432],"domain_scores_gemma":[0.9937611,0.002747259,0.002692332,0.0002192284,0.0002630816,0.0003168604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001046041,0.00003263166,0.9910004,0.00005528454,0.0001505293,0.00006802093,0.0002029448,0.002335325,0.000086348,0.0007845982,0.0005225955,0.004656695],"study_design_scores_gemma":[0.000004163316,0.00004710199,0.9953812,0.0000494659,0.00004590301,0.00004086844,0.0004197192,0.002676615,0.0001037866,0.000362947,0.0008618611,0.000006344413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911816,0.001787053,0.0009853098,0.001149329,0.00002919344,0.00002408708,0.00300834,0.00001144438,0.001823696],"genre_scores_gemma":[0.9984584,0.0002944357,0.0001372055,0.00007899757,0.00002760168,0.00001295624,0.0008216372,0.000002525556,0.0001662789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02117267,"threshold_uncertainty_score":0.04209888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264161741223322,"score_gpt":0.5191010966488511,"score_spread":0.3926849225265189,"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."}}