{"id":"W2002588728","doi":"10.1016/j.meatsci.2005.02.010","title":"A method for simultaneous fluorometry and rheology of connective tissue in bulk meat","year":2005,"lang":"en","type":"article","venue":"Meat Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Connective tissue; Penetration (warfare); Chemistry; Penetration depth; Analytical Chemistry (journal); Materials science; Optics; Pathology; Chromatography; Medicine; Mathematics; Physics","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":[0.001435673,0.0009580554,0.0006770942,0.002049301,0.0009828063,0.000658166,0.001388136,0.001709084,0.002032449],"category_scores_gemma":[0.001390877,0.0007354775,0.0005302492,0.0008652959,0.0009227242,0.001193977,0.001108235,0.002380874,0.001042214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000400668,"about_ca_system_score_gemma":0.0008639724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234756,"about_ca_topic_score_gemma":0.002905497,"domain_scores_codex":[0.9989524,0.0001733818,0.00005474151,0.0003594774,0.0003725143,0.00008749696],"domain_scores_gemma":[0.9982041,0.0008873046,0.0001533916,0.0002674039,0.0003393833,0.000148386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007654812,0.00002102,0.0002894612,0.00008888607,0.00001108532,0.00002858774,0.00003191097,0.00003680508,0.9880674,0.0002108639,0.0002169615,0.01092052],"study_design_scores_gemma":[0.00007031295,0.0003802706,0.004848728,0.00004000951,0.00008699341,0.001299324,0.00006238074,0.004783105,0.9793002,0.0005005139,0.008561106,0.00006708963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06183462,0.003965217,0.9286293,0.0002917057,0.0003440081,0.0002837789,0.0005636184,0.001504097,0.00258358],"genre_scores_gemma":[0.1669666,0.002516971,0.8219374,0.0003160061,0.0001445894,0.0007769295,0.0005952754,0.0003451385,0.006401156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002049301,"threshold_uncertainty_score":0.007592618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314870629574121,"score_gpt":0.3160792822745103,"score_spread":0.282930575978769,"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."}}