{"id":"W2946833156","doi":"10.1002/mrd.23174","title":"Proteomic markers of low and high fertility bovine spermatozoa separated by Percoll gradient","year":2019,"lang":"en","type":"article","venue":"Molecular Reproduction and Development","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq; Centre hospitalier de l'Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Percoll; Semen; Sperm; Andrology; Artificial insemination; Semen quality; Population; Fertility; Insemination; Genetics; Centrifugation; Biochemistry; Pregnancy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000237955,0.0001334173,0.0002219534,0.00007299828,0.00004348421,0.00001142957,0.0000194834,0.00005746835,0.0001140614],"category_scores_gemma":[0.0000629546,0.0001158279,0.00002415764,0.0001255423,0.00005159995,0.00004431649,0.00003183091,0.00008005125,0.00001943617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006334511,"about_ca_system_score_gemma":0.00007717313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003299611,"about_ca_topic_score_gemma":5.170342e-7,"domain_scores_codex":[0.9989038,0.00003317912,0.0002546701,0.0004755766,0.0001981904,0.0001346179],"domain_scores_gemma":[0.9994522,0.000003754557,0.00006812768,0.0002737506,0.0001055159,0.0000966411],"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":[0.001716562,0.0004125416,0.1094001,0.0008572837,0.0002130364,0.00002625947,0.0004279515,0.00001440476,0.8707931,0.00004871012,0.001217867,0.01487213],"study_design_scores_gemma":[0.001576114,0.0003246655,0.4986368,0.0001028111,0.00003831048,0.000172171,0.00006621007,0.0001529292,0.4938451,0.00001837671,0.004896424,0.0001700494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974777,0.0004869377,0.0003322223,0.0004490825,0.0001706065,0.0008153245,0.000001650215,0.00003998703,0.0002264619],"genre_scores_gemma":[0.9971197,0.00003386862,0.001837442,0.0001108612,0.00001142394,0.00002366583,0.00006383654,0.00001350429,0.0007857234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3892367,"threshold_uncertainty_score":0.4723325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005742380626362491,"score_gpt":0.2110669502551925,"score_spread":0.20532456962883,"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."}}