{"id":"W4281625486","doi":"10.3389/fendo.2022.897101","title":"Advanced Paternal Age and Future Generations","year":2022,"lang":"en","type":"review","venue":"Frontiers in Endocrinology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Paternal age; Offspring; Advanced maternal age; Fertility; Affect (linguistics); Transgenerational epigenetics; Medicine; Biology; Demography; Pregnancy; Environmental health; Psychology; Population; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007448139,0.0002903947,0.001486268,0.0004797658,0.0001236294,0.00000849051,0.0001336206,0.0002096279,0.0002583979],"category_scores_gemma":[0.0000180068,0.0002550299,0.0001218714,0.0002102554,0.00008806775,0.00003109718,0.0001092025,0.0009972475,0.000007502583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179004,"about_ca_system_score_gemma":0.0004858441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001632284,"about_ca_topic_score_gemma":0.00003568933,"domain_scores_codex":[0.998237,0.0001567913,0.0005041994,0.0004660176,0.0001309274,0.0005050711],"domain_scores_gemma":[0.999398,0.0000227722,0.0001624276,0.0002810915,0.00001242414,0.0001232761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001562268,0.00004299594,0.0006824934,0.0036272,0.00009585614,0.0009975119,0.0001242551,9.277507e-8,1.156215e-7,0.004129149,0.009201605,0.9810831],"study_design_scores_gemma":[0.0007221522,0.0001292445,0.0004663782,0.0003873575,0.0001641076,0.0007371841,0.0001373463,0.000001625572,1.798002e-7,0.0007946428,0.9962631,0.0001966657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003157831,0.9915627,0.000120676,0.0003699704,0.003807147,0.000721333,0.00003380533,0.00004576194,0.003307072],"genre_scores_gemma":[0.00000155082,0.9839888,0.01377319,0.0004734372,0.000631858,0.0003114742,0.0003766772,0.00004332135,0.0003996537],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9870615,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013651455773078,"score_gpt":0.3321275182933713,"score_spread":0.2919910037356406,"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."}}