{"id":"W4405220854","doi":"10.1016/j.psj.2024.104658","title":"Dietary supplementation with lycopene improves semen quality and antioxidant status in breeder roosters","year":2024,"lang":"en","type":"article","venue":"Poultry Science","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Beijing University of Agriculture; Beijing Municipal Commission of Education; National Natural Science Foundation of China","keywords":"Rooster; Semen quality; Lycopene; Semen; Breeder (animal); Antioxidant; Food science; Animal science; Biology; Chemistry; Medicine; Andrology; Biochemistry","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":[0.0001850865,0.0003039029,0.0004311638,0.0003100094,0.0001384583,0.0002504576,0.000140894,0.0002700633,0.0006489287],"category_scores_gemma":[0.0001559358,0.0001164972,0.0001818018,0.0001105169,0.0001490868,0.0002738987,0.0001329792,0.0003489464,0.0001283225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041122,"about_ca_system_score_gemma":0.000114529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007446273,"about_ca_topic_score_gemma":0.001744798,"domain_scores_codex":[0.9999317,0.00001561427,0.000008095055,0.00002155215,0.00001254276,0.00001050024],"domain_scores_gemma":[0.9998515,0.0000143634,0.00004642358,0.0000112247,0.00002699388,0.00004965963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001728129,0.0002867231,0.002816514,0.0001203928,0.0000413206,0.00008098857,0.00006930518,0.00003159507,0.9902793,0.00001063628,0.00003689802,0.004498299],"study_design_scores_gemma":[0.0005057738,0.04853844,0.3367357,0.0001290962,0.0006446381,0.001097194,0.001058176,0.001168415,0.6023282,0.0001637333,0.007574379,0.00005626686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981035,0.00144754,0.0001825188,0.00003507383,0.00000997274,0.00000884842,0.00005966498,0.00001264124,0.0001403321],"genre_scores_gemma":[0.9955996,0.001481019,0.0008043076,0.00008825966,0.00001100935,0.00002036239,0.0002845986,0.000009990628,0.001700725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007446273,"threshold_uncertainty_score":0.002170861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04123386793148955,"score_gpt":0.3468985746332268,"score_spread":0.3056647067017372,"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."}}