{"id":"W2171421978","doi":"10.1111/j.1745-4573.2007.00066.x","title":"A MODIFIED MEAT JUICE CONTAINER (EZ‐DRIPLOSS) PROCEDURE FOR A MORE RELIABLE ASSESSMENT OF DRIP LOSS AND RELATED QUALITY CHANGES IN PORK MEAT","year":2007,"lang":"en","type":"article","venue":"Journal of Muscle Foods","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; F. Ménard (Canada)","funders":"Agriculture and Agri-Food Canada","keywords":"Mathematics; Sample (material); Food science; Quality (philosophy); Longissimus; Quality assessment; Reliability (semiconductor); Environmental science; Statistics; Chemistry; Animal science; Evaluation methods; Biology; Chromatography; Physics; Engineering; Reliability engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003178624,0.0001617436,0.0005068449,0.0000417806,0.00009077961,0.00002815045,0.0001978354,0.0001605182,0.00004115635],"category_scores_gemma":[0.0003215921,0.00006761582,0.0001310485,0.0003346407,0.00009239292,0.0001660625,0.00004683774,0.0002583605,2.010521e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003872553,"about_ca_system_score_gemma":0.00003176623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568331,"about_ca_topic_score_gemma":0.001118755,"domain_scores_codex":[0.998141,0.0001055657,0.0008128642,0.0002411697,0.0003863607,0.0003130758],"domain_scores_gemma":[0.9985502,0.000277313,0.0006283027,0.0000661969,0.0003371,0.0001408851],"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":[0.001695821,0.0009626946,0.1708069,0.0004617861,0.0001302229,0.00003594724,0.001367773,0.00004530967,0.8059046,0.005765397,0.000798845,0.01202463],"study_design_scores_gemma":[0.001310327,0.001478602,0.9798017,0.0001912189,0.00004122901,0.00002835715,0.002120231,0.00006383282,0.01168135,0.001870536,0.001202311,0.0002103798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941878,0.0003592159,0.0000136545,0.004340565,0.0001396006,0.0003301422,0.00001855091,0.0000114176,0.0005990153],"genre_scores_gemma":[0.9987276,0.0000868845,0.0005037131,0.0001499938,0.0002887835,0.000004109391,0.00000688622,0.0000022308,0.000229844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8089947,"threshold_uncertainty_score":0.2757293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06189641160843937,"score_gpt":0.3310640905155806,"score_spread":0.2691676789071412,"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."}}