{"id":"W2047727263","doi":"10.1016/j.meatsci.2004.06.028","title":"Intramuscular connective tissue and its role in meat quality","year":2005,"lang":"en","type":"article","venue":"Meat Science","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":437,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Connective tissue; Cooked meat; Tenderness; Food science; Raw meat; Biology; Anatomy; Genetics","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":[0.0005014428,0.0002205035,0.00019629,0.0005075144,0.0002298027,0.0006235684,0.0002986974,0.0005912199,0.002151271],"category_scores_gemma":[0.0005183202,0.0001074499,0.0001589798,0.0003161278,0.0006520865,0.0003474132,0.0002542209,0.0005519912,0.0001619116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002908488,"about_ca_system_score_gemma":0.0002552567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015182,"about_ca_topic_score_gemma":0.001282056,"domain_scores_codex":[0.999856,0.00006016417,0.000009659714,0.00001606323,0.0000403624,0.00001765515],"domain_scores_gemma":[0.9997483,0.0001057403,0.00006491219,0.00001132571,0.00003813459,0.00003153831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009290472,0.00117926,0.04103557,0.00378863,0.0002389627,0.006327913,0.001640905,0.0007148489,0.4140095,0.01989172,0.003352814,0.4985294],"study_design_scores_gemma":[0.0007466465,0.01761088,0.6005551,0.001788192,0.001027378,0.03036457,0.006688293,0.003020896,0.1439495,0.02141822,0.1726736,0.0001567235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4308427,0.5405716,0.002583593,0.004338224,0.0004693251,0.00003713997,0.00009856502,0.00001761745,0.02104131],"genre_scores_gemma":[0.898696,0.08719061,0.002557338,0.0005712504,0.0007119016,0.00003343807,0.00004433923,0.000005647821,0.01018937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002151271,"threshold_uncertainty_score":0.007196724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935859983739385,"score_gpt":0.3316942253006667,"score_spread":0.3123356254632729,"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."}}