{"id":"W4289517609","doi":"10.1007/s10815-022-02586-x","title":"Correction to: A synopsis of global frontiers in fertility preservation","year":2022,"lang":"en","type":"erratum","venue":"Journal of Assisted Reproduction and Genetics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reproductive medicine; Fertility; Human genetics; Fertility preservation; Data science; Biology; Computational biology; Medicine; Computer science; Pregnancy; Genetics; Environmental health","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":[0.004951337,0.002310525,0.002112369,0.003633607,0.003352545,0.004322227,0.003120451,0.008262747,0.0444965],"category_scores_gemma":[0.05293999,0.0009425572,0.001446801,0.002581106,0.002669855,0.00265226,0.002656337,0.01552722,0.02637713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004919144,"about_ca_system_score_gemma":0.00785703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03833325,"about_ca_topic_score_gemma":0.04415343,"domain_scores_codex":[0.9959674,0.0007788916,0.0007003078,0.0004856943,0.001610753,0.0004569988],"domain_scores_gemma":[0.9722968,0.008280027,0.001478442,0.001356279,0.01488673,0.001701853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000104859,0.00000163834,0.00002394841,0.00004827591,0.000002769645,0.00005632938,0.00001045294,0.00001196467,0.000008003686,0.0002642202,0.9981534,0.001408512],"study_design_scores_gemma":[0.00002437153,0.000007179573,0.0005503421,0.0003357254,0.00001318583,0.0001614267,0.00007042014,0.00008062321,0.00006476978,0.0006932563,0.9979804,0.00001835188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00005929348,0.00134216,0.0002451722,0.06275035,0.9320937,0.00002123978,0.0008818638,0.00009654563,0.002509719],"genre_scores_gemma":[0.004783927,0.007983682,0.002271998,0.1943716,0.635847,0.0004127137,0.001747135,0.0009444592,0.1516374],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0444965,"threshold_uncertainty_score":0.1488556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170284182304912,"score_gpt":0.3087044948229629,"score_spread":0.2870016529999138,"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."}}