{"id":"W2012917012","doi":"10.1016/j.meatsci.2013.05.036","title":"Marbling in the longissimus thoracis muscle from lean cattle breeds. Computer image analysis of fresh versus stained meat samples","year":2013,"lang":"en","type":"article","venue":"Meat Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Corporación Tecnológica de Andalucía","keywords":"Marbled meat; Intramuscular fat; Longissimus; Breed; Longissimus muscle; Animal science; Biology; Beef cattle; Longissimus Thoracis; Computer image; Anatomy; Tenderness","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":[0.0009825634,0.0001353562,0.0002652544,0.00006581484,0.0002768663,0.0002123199,0.0009789262,0.0000405477,0.0008891441],"category_scores_gemma":[0.0002206412,0.00004691392,0.0001183129,0.002691509,0.0004950789,0.0004062419,0.0001709903,0.0001127467,0.00002977404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002085847,"about_ca_system_score_gemma":0.00001229634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144117,"about_ca_topic_score_gemma":0.007585451,"domain_scores_codex":[0.9981419,0.0001240987,0.0002916789,0.0004937515,0.0005860773,0.0003624489],"domain_scores_gemma":[0.9988809,0.0005646082,0.0001041693,0.000201369,0.0001622393,0.00008674276],"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":[0.00003926938,0.0001389257,0.06613944,0.000005732452,0.00003673898,0.00000272824,0.001446157,0.0001098951,0.8882102,0.0004222929,0.0004105686,0.04303806],"study_design_scores_gemma":[0.0001078969,0.0001008693,0.9819606,0.000008012768,0.00004959862,1.707472e-7,0.001685878,0.002569105,0.01280417,0.0003934621,0.0001781917,0.0001420542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978147,0.00007089796,0.00008523988,0.001125212,0.0001019359,0.0001758743,0.00005094048,0.00002343872,0.0005518333],"genre_scores_gemma":[0.9984939,0.000008430755,0.001145678,0.0001510478,0.0001364099,0.000004837964,0.00003233784,6.851868e-7,0.00002674544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9158211,"threshold_uncertainty_score":0.9921514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06500609860958494,"score_gpt":0.2825358210516925,"score_spread":0.2175297224421076,"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."}}