{"id":"W2803060420","doi":"10.3168/jds.2017-13940","title":"The relationship between serum anti-Müllerian hormone concentrations and fertility, and genome-wide associations for anti-Müllerian hormone in Holstein cows","year":2018,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Universitat de Lleida; Alberta Livestock and Meat Agency; Teagasc; University of Alberta; Alberta Innovates; Alberta Agriculture and Forestry","keywords":"Anti-Müllerian hormone; Herd; Biology; Pregnancy; Lactation; Fertility; Dairy cattle; Artificial insemination; Insemination; Animal science; Hormone; Endocrinology; Medicine; Population; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007804021,0.0001785558,0.0002475119,0.0007792346,0.0003763133,0.0005531388,0.0004099389,0.0002992338,0.00047112],"category_scores_gemma":[0.001011863,0.00018122,0.0002971284,0.0008227474,0.0003944329,0.0001562601,0.0002074584,0.0002963321,0.00005024218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008717672,"about_ca_system_score_gemma":0.000544263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04643557,"about_ca_topic_score_gemma":0.06866448,"domain_scores_codex":[0.9996439,0.00006883141,0.00001974379,0.0001197129,0.00008613745,0.0000615673],"domain_scores_gemma":[0.999226,0.0002672486,0.0002763032,0.00005925294,0.0000782174,0.00009287111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002522417,0.0000169545,0.9943392,0.000008480874,0.0001430258,0.00004383145,0.00008931372,0.00008032507,0.003124346,0.00002039223,0.0000454258,0.001836611],"study_design_scores_gemma":[0.00000167533,0.00001212446,0.9997645,7.727281e-7,0.00001429772,0.00001748965,0.00002055569,0.0001051342,0.00003328801,0.000005819282,0.00002367383,6.89831e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994185,0.0002834058,0.00008306775,0.00001658086,0.000001271672,0.000001377503,0.0001212375,0.000003306648,0.00007126742],"genre_scores_gemma":[0.9993877,0.00008079667,0.0002349902,0.00001968466,0.000003851698,0.000002580291,0.0001485412,0.000002145963,0.0001196779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04643557,"threshold_uncertainty_score":0.09233057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05063043142201872,"score_gpt":0.2843104028953867,"score_spread":0.2336799714733679,"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."}}