{"id":"W4286884844","doi":"10.37970/aps.v6i1.101","title":"Having babies in times of uncertainty: first results of the impact of COVID-19 on the number of babies born in Australia","year":2022,"lang":"en","type":"article","venue":"Australian Population Studies","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"New South Wales Government; Australian Government","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Pandemic; Demography; Speculation; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Birth rate; Geography; Demographic economics; Medicine; Economics; Population; Sociology; Fertility; Infectious disease (medical specialty)","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":[0.00450068,0.000291202,0.0004670419,0.0009312828,0.0009322792,0.001146287,0.0006358796,0.0005937882,0.002395516],"category_scores_gemma":[0.02609641,0.0002850172,0.0008901661,0.001126128,0.0008636329,0.001039138,0.003001081,0.001554543,0.0002789499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425063,"about_ca_system_score_gemma":0.002054343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1656527,"about_ca_topic_score_gemma":0.1396122,"domain_scores_codex":[0.9973667,0.001350721,0.0001320555,0.0001744843,0.0004500697,0.0005259977],"domain_scores_gemma":[0.9885218,0.005641955,0.002286528,0.0005162903,0.001520711,0.001512607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003850914,0.0002661507,0.9474461,0.0003977288,0.0003072325,0.001062216,0.01092491,0.001322704,0.0002224067,0.0009821227,0.001923134,0.03476024],"study_design_scores_gemma":[0.000008032631,0.0003059804,0.9917203,0.0001356672,0.00007396651,0.0002092577,0.005393571,0.0006439045,0.00006621941,0.0003641468,0.001066686,0.00001226511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930876,0.001243284,0.000172132,0.00101293,0.00001395302,0.00005007406,0.0006828121,0.000005979159,0.003731168],"genre_scores_gemma":[0.9975747,0.0009518492,0.000224743,0.0001439439,0.00001993464,0.00003415273,0.0002653674,0.000004204599,0.0007810724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1656527,"threshold_uncertainty_score":0.329377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1361971775190791,"score_gpt":0.4401505969048744,"score_spread":0.3039534193857953,"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."}}