{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002051199,0.0004372917,0.000232355,0.0005816314,0.0002346572,0.0002412429,0.00008125072,0.0002818161,0.0005439236],"category_scores_gemma":[0.0001802984,0.0001243964,0.0001984098,0.0003657253,0.0001853044,0.0001771192,0.0001751776,0.0002800443,0.00007784504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002006765,"about_ca_system_score_gemma":0.0001538885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003329582,"about_ca_topic_score_gemma":0.003702722,"domain_scores_codex":[0.9999242,0.000009190247,0.000005396024,0.00002067596,0.00002040181,0.0000202156],"domain_scores_gemma":[0.9997889,0.00001275088,0.00009690931,0.000007386981,0.0000521968,0.00004180956],"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":[0.003366182,0.0001249623,0.09199079,0.0001429092,0.0001067821,0.0002525307,0.0003421862,0.00006673949,0.8920823,0.00002762935,0.00008457727,0.01141239],"study_design_scores_gemma":[0.00001500598,0.001252185,0.8842331,0.00001998987,0.0001726349,0.0004439019,0.000536519,0.0003386603,0.1120449,0.00005696175,0.0008671408,0.00001898836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982517,0.001163925,0.0002466426,0.00001405905,0.000006673591,0.000005243594,0.0001690057,0.000006046712,0.0001365853],"genre_scores_gemma":[0.9979575,0.0005227526,0.0005779031,0.00006359356,0.000005880353,0.000009706386,0.000308976,0.000005001873,0.0005487734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003329582,"threshold_uncertainty_score":0.006620407,"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."}}