{"id":"W4394964104","doi":"10.1093/biolre/ioae061","title":"Biomarker-based human and animal sperm phenotyping: the good, the bad and the ugly","year":2024,"lang":"en","type":"article","venue":"Biology of Reproduction","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"National Institute of Food and Agriculture; University of Missouri; Fundação de Amparo à Pesquisa do Estado de São Paulo; George Washington University; U.S. Department of Agriculture","keywords":"Biology; Sperm; Biomarker; Proteostasis; Semen; Cell biology; Computational biology; Genetics","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":[0.003184118,0.0006524396,0.001051452,0.001775881,0.0003410654,0.002266539,0.000929888,0.001812957,0.001836205],"category_scores_gemma":[0.002714756,0.0003150675,0.0004256938,0.001235786,0.002315883,0.003203931,0.001067373,0.002112029,0.0008735395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008319332,"about_ca_system_score_gemma":0.000963093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064971,"about_ca_topic_score_gemma":0.00164165,"domain_scores_codex":[0.9988973,0.0003220346,0.00008372997,0.0002281893,0.0004189174,0.0000498557],"domain_scores_gemma":[0.9983468,0.0006776803,0.000168097,0.0001083827,0.000582828,0.0001162939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004194952,0.00006586793,0.006771563,0.006816396,0.0002746883,0.0006342899,0.0004603586,0.0008297099,0.04030163,0.04532584,0.06810554,0.8299946],"study_design_scores_gemma":[0.0000295458,0.0004819895,0.01472817,0.002915403,0.0002776672,0.005489974,0.0008363275,0.002667518,0.02694584,0.04483901,0.9005941,0.0001944808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004131646,0.9506345,0.02276705,0.01476993,0.002265692,0.00003684935,0.0003743963,0.0002106654,0.004809324],"genre_scores_gemma":[0.06274124,0.8726638,0.03730326,0.01135427,0.004655849,0.000115039,0.0006485397,0.0001199088,0.01039819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003184118,"threshold_uncertainty_score":0.01683944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641930537745762,"score_gpt":0.2896805220411461,"score_spread":0.2632612166636885,"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."}}