{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002033202,0.0006098999,0.0004891353,0.0006450625,0.0002944354,0.0004826558,0.0004400159,0.0003670352,0.001447856],"category_scores_gemma":[0.00180362,0.0003660458,0.0003391716,0.0004836531,0.0004022374,0.0005459642,0.0006158342,0.0005478543,0.0006559576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597856,"about_ca_system_score_gemma":0.0003031115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004746481,"about_ca_topic_score_gemma":0.001302603,"domain_scores_codex":[0.9978706,0.0006253411,0.0001975725,0.0004222999,0.0008138173,0.00007046472],"domain_scores_gemma":[0.9985514,0.0003755949,0.0003532206,0.000217174,0.0004468492,0.00005572625],"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":[0.0002755337,0.00004388542,0.005077421,0.0001290486,0.00002744562,0.00007076263,0.00008917613,0.00008609894,0.9818361,0.00004264183,0.0001046568,0.01221733],"study_design_scores_gemma":[0.00003419656,0.002234779,0.1111314,0.00004107925,0.00009398956,0.001157176,0.000164695,0.004118965,0.8754846,0.00006447615,0.005415273,0.00005924378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8537555,0.002238032,0.1409709,0.00008810556,0.000134029,0.000358585,0.000594206,0.0004524783,0.001408055],"genre_scores_gemma":[0.64388,0.0011419,0.3484069,0.0001985081,0.00005337376,0.0005400876,0.001633315,0.0001994655,0.003946432],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002033202,"threshold_uncertainty_score":0.01075274,"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."}}