{"id":"W4404862291","doi":"10.1016/j.cryobiol.2024.104995","title":"Lipidome composition and biomarkers of cryotolerance in bovine spermatozoa","year":2024,"lang":"en","type":"article","venue":"Cryobiology","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"","keywords":"Lipidome; Biology; Composition (language); Computational biology; Lipidomics; Bioinformatics","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":[0.0001844758,0.0001894882,0.0002272608,0.0005633378,0.0002863603,0.000449444,0.0001151803,0.0002884389,0.001269787],"category_scores_gemma":[0.0002243545,0.00008930641,0.000166783,0.0003813583,0.0002271482,0.0003263206,0.0002515345,0.0002534549,0.0001809572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273269,"about_ca_system_score_gemma":0.000225774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00277501,"about_ca_topic_score_gemma":0.002251501,"domain_scores_codex":[0.9999222,0.000012895,0.00000528647,0.00001895557,0.00001459459,0.0000262097],"domain_scores_gemma":[0.9999117,0.00001063776,0.00002664655,0.00000431616,0.00002573712,0.00002092812],"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":[0.003075205,0.00004156046,0.03120391,0.0001502714,0.0000906583,0.0001602605,0.0002768932,0.00009307845,0.9582818,0.000140942,0.00007835645,0.006406927],"study_design_scores_gemma":[0.00005081729,0.001716006,0.7115964,0.0001367599,0.0002377629,0.001059504,0.001956721,0.001080441,0.2771368,0.0005697085,0.004415873,0.00004320955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948314,0.003520683,0.0004362459,0.00006663812,0.00001832522,0.000009009154,0.0005010657,0.000005972255,0.0006106567],"genre_scores_gemma":[0.996774,0.001308586,0.0003467496,0.0000770037,0.0000114547,0.00001339635,0.0004863652,0.000005755572,0.0009767481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00277501,"threshold_uncertainty_score":0.005517721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033975363268447,"score_gpt":0.2590539135074715,"score_spread":0.248714159874787,"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."}}