{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000845657,0.0000772226,0.0001161604,0.00003713745,0.0001762415,0.00001463419,0.00003741439,0.00005853498,0.0000244494],"category_scores_gemma":[0.0002855872,0.0000311314,0.00004330673,0.0001262515,0.0008434185,0.00002230877,0.00002305918,0.000122348,0.000003362428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009802501,"about_ca_system_score_gemma":0.00002341622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009922575,"about_ca_topic_score_gemma":0.00000632006,"domain_scores_codex":[0.9993293,0.0001107452,0.0001295905,0.0002909529,0.00005571947,0.00008374776],"domain_scores_gemma":[0.9994313,0.0001482427,0.00004416353,0.0003198407,0.0000412609,0.00001524886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002063896,0.0001389507,0.06268449,0.0003032318,0.0005805534,0.000009755616,0.001414201,0.000003246263,0.5146124,0.08467131,0.003679858,0.3298381],"study_design_scores_gemma":[0.003122579,0.001239754,0.7711644,0.0001663211,0.0008928275,0.001099227,0.0008478589,0.003748505,0.02941669,0.005865582,0.1822195,0.0002167272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951817,0.02057207,0.0001419001,0.02591505,0.0004894839,0.0003709362,0.000001564771,0.0000487424,0.0006432539],"genre_scores_gemma":[0.9989395,0.0001792441,0.00004350774,0.0001071229,0.0005007646,0.00001369356,0.00001107188,0.000007349723,0.0001978042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7084799,"threshold_uncertainty_score":0.3107611,"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."}}