{"id":"W1996447206","doi":"10.1016/s0309-1740(00)00014-0","title":"Evaluation of a probe for predicting beef tenderness","year":2000,"lang":"en","type":"article","venue":"Meat Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Tenderness; Sensory system; Food science; Chemistry; Mathematics; Statistics; Biology","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":[0.002085783,0.000678269,0.0006195841,0.0006859517,0.0002460683,0.0005550263,0.0006061713,0.001595889,0.002043724],"category_scores_gemma":[0.005445234,0.0001951055,0.0003497624,0.000490411,0.0002962434,0.0007582631,0.0004691055,0.0005491739,0.000764193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002798617,"about_ca_system_score_gemma":0.0003046763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001089459,"about_ca_topic_score_gemma":0.0008397932,"domain_scores_codex":[0.9991732,0.0003231149,0.00002662875,0.0002120646,0.0001943436,0.00007051856],"domain_scores_gemma":[0.9959436,0.003024074,0.0001323451,0.0001026667,0.0006736073,0.0001236602],"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":[0.005703701,0.0008362405,0.04479296,0.0002581042,0.0001739014,0.0002229493,0.0001386218,0.009579534,0.6956099,0.0006680437,0.001054406,0.2409617],"study_design_scores_gemma":[0.0005332826,0.01373623,0.06600165,0.00003591252,0.0005053783,0.0015503,0.000380443,0.5812314,0.3322585,0.0009686329,0.002662124,0.0001361192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7729597,0.0006491995,0.2224718,0.0003246798,0.0001500934,0.0002707854,0.0005829844,0.001000931,0.00158972],"genre_scores_gemma":[0.8576419,0.0002258728,0.1384726,0.0002545897,0.00005622578,0.000228092,0.0006806199,0.00006451711,0.00237559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002085783,"threshold_uncertainty_score":0.01103085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138302232208034,"score_gpt":0.318341772207195,"score_spread":0.2045115489863917,"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."}}