{"id":"W7047180822","doi":"","title":"Evaluation of rapid evaporative ionization mass spectrometry (REIMS) for the prediction of slice shear force and biochemical markers of tenderness in beef Longissimus lumborum steaks","year":2023,"lang":"en","type":"dissertation","venue":"ThinkTech (Texas Tech University)","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tenderness; Longissimus; Principal component analysis; Meat tenderness; Population; Beef cattle; Support vector machine; Analytical Chemistry (journal)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008605069,0.000211226,0.0003854916,0.0006215505,0.00008283267,0.00001037398,0.0002694247,0.0002034598,0.00004136332],"category_scores_gemma":[0.00006160857,0.0002025591,0.0001059794,0.001148037,0.00009757154,0.0001231626,0.00003870312,0.0002587009,4.523503e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541814,"about_ca_system_score_gemma":0.0002916875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002609695,"about_ca_topic_score_gemma":0.00001555186,"domain_scores_codex":[0.9984432,0.0001273463,0.0003648106,0.0003322739,0.0005215309,0.0002108012],"domain_scores_gemma":[0.9983193,0.0002310491,0.0005531518,0.0002673922,0.0005926348,0.00003644884],"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":[0.008944551,0.002705477,0.02784153,0.005604935,0.008322832,0.000006457857,0.02109114,0.006880329,0.7308356,0.08444142,0.00226083,0.1010649],"study_design_scores_gemma":[0.01048061,0.004044825,0.07463948,0.001999935,0.006313744,0.000001453696,0.05669922,0.08036303,0.6855527,0.07847662,0.0001360859,0.001292337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790161,0.0003406934,0.008983144,0.00005602038,0.0002004303,0.00175599,0.000301292,0.00005590656,0.009290431],"genre_scores_gemma":[0.9963036,0.00006509687,0.000579292,9.137533e-7,0.00003764686,0.000009057424,0.0007697848,0.00002918733,0.002205423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09977252,"threshold_uncertainty_score":0.8260119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415568669736635,"score_gpt":0.2348628164398689,"score_spread":0.2207071297425026,"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."}}