{"id":"W4407141926","doi":"10.3390/metabo15020094","title":"Metabolites and Free Fatty Acids in Japanese Black Beef During Wet Aging","year":2025,"lang":"en","type":"article","venue":"Metabolites","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Japan Racing Association","keywords":"Food science; Chemistry","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":[0.0006201738,0.0002068094,0.0003853157,0.00004649222,0.0001659173,0.000125321,0.0003228669,0.00007985267,0.0002262061],"category_scores_gemma":[0.0003998995,0.00008618613,0.00008382581,0.0006494586,0.0001351103,0.0002356094,0.0002693268,0.0001753331,0.00001603339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001028575,"about_ca_system_score_gemma":0.000005953157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005812673,"about_ca_topic_score_gemma":0.0004728554,"domain_scores_codex":[0.9984409,0.0001788701,0.0003334853,0.0004820308,0.0001677107,0.000397002],"domain_scores_gemma":[0.999478,0.0001939211,0.00005869926,0.0001351482,0.00005014721,0.00008407312],"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":[0.00002686158,0.00006426068,0.3405766,0.00005782983,0.00002042691,0.000003360261,0.0004117833,7.295566e-7,0.6484196,0.003944544,0.00006395662,0.006410053],"study_design_scores_gemma":[0.000253861,0.00001356204,0.9132828,0.00003195613,0.00002429161,0.000001327301,0.0007244496,0.00001436697,0.07166736,0.004319291,0.009481082,0.000185624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869286,0.008118456,4.337931e-7,0.002363173,0.0001002309,0.0001706437,0.00004464957,0.00007120344,0.002202564],"genre_scores_gemma":[0.9973716,0.000371729,0.0001681358,0.000286053,0.0002453526,0.00001327401,0.00002063618,0.000001191577,0.001522028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5767522,"threshold_uncertainty_score":0.3514569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110761336301517,"score_gpt":0.2491401373674534,"score_spread":0.2280325240044382,"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."}}