{"id":"W7019385897","doi":"","title":"Genetics of Fecundity: A Demographic Approach","year":2020,"lang":"en","type":"article","venue":"Human Biology","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Population; Population genetics; Natural fertility; Birth rate; Total fertility rate; Genetic variation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006361442,0.00008597567,0.0002693897,0.00007775805,0.00004427107,7.30975e-7,0.00009895277,0.0001670669,0.00006175726],"category_scores_gemma":[0.00005920688,0.0000699194,0.00007656524,0.0001960612,0.00049523,0.000007483315,0.00006684967,0.0002204184,0.00001073253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004593753,"about_ca_system_score_gemma":0.00001865483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000191887,"about_ca_topic_score_gemma":4.668835e-7,"domain_scores_codex":[0.9993249,0.00004189909,0.0001696425,0.0002892638,0.00003654469,0.0001378077],"domain_scores_gemma":[0.9995468,0.00001106682,0.00007529804,0.0002666619,0.00004768655,0.00005245051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008670712,0.0004080481,0.7923883,0.0002152122,0.0002936538,0.00001724425,0.0004012164,7.537741e-7,0.1572908,0.04196897,0.0006506761,0.006278435],"study_design_scores_gemma":[0.003976143,0.005949635,0.8778208,0.00009745323,0.0005898449,0.0002870619,0.0005420006,0.0001432458,0.07208358,0.02522115,0.01276742,0.0005215926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828677,0.003495199,0.00173904,0.00107378,0.0000463004,0.0002408345,0.000004164324,0.0001321038,0.01040094],"genre_scores_gemma":[0.9972932,0.00005894829,0.002108395,0.0003258756,0.000105175,0.000008064616,0.00003028706,0.000009389521,0.00006070899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08543254,"threshold_uncertainty_score":0.285123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06645579222567757,"score_gpt":0.3077969743555427,"score_spread":0.2413411821298651,"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."}}