{"id":"W4390413895","doi":"10.1016/j.theriogenology.2023.12.033","title":"Predictive characteristics of male fertility in alpacas with special reference to seminal NGF","year":2023,"lang":"en","type":"article","venue":"Theriogenology","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Natural Sciences and Engineering Research Council of Canada; National Research Council of Science and Technology","keywords":"Nerve growth factor; Sperm; Biology; Endocrinology; Ovulation; Semen; Internal medicine; Radioimmunoassay; Andrology; Sperm motility; Fertility; Medicine; Hormone; Anatomy; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003779156,0.0002831166,0.0001864992,0.0006900898,0.0002497956,0.0004543347,0.0001799887,0.0002878543,0.001075246],"category_scores_gemma":[0.001346862,0.00009859307,0.0001462725,0.0003838637,0.0002780893,0.0001722884,0.0001683672,0.0002067891,0.0001179993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923749,"about_ca_system_score_gemma":0.0001764013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00426555,"about_ca_topic_score_gemma":0.006023641,"domain_scores_codex":[0.9999164,0.00001764243,0.000006257981,0.00002793501,0.00001838518,0.00001328152],"domain_scores_gemma":[0.9994,0.0002198184,0.0001905269,0.00004026043,0.00005706531,0.00009232541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003499179,0.0000457421,0.989645,0.00001268078,0.0000555721,0.0001659811,0.0001690402,0.0002248821,0.004762588,0.00004013502,0.00007379096,0.004454696],"study_design_scores_gemma":[0.000003494787,0.0001243481,0.9986443,0.000004465942,0.00001633047,0.000204678,0.0001383437,0.0003937712,0.000280636,0.00003307916,0.0001535947,0.000003004615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992275,0.0001828971,0.00007837074,0.000008566792,0.000002680047,0.000002558878,0.0001401853,0.000003279037,0.0003539982],"genre_scores_gemma":[0.9994755,0.00006529189,0.00007040615,0.000006651775,0.000005052587,0.000003265351,0.0001645257,0.000001924165,0.0002074284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00426555,"threshold_uncertainty_score":0.008481443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353246527662525,"score_gpt":0.2490140990425515,"score_spread":0.213689446276299,"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."}}