{"id":"W2011929406","doi":"10.1016/j.meatsci.2007.07.031","title":"Progress in reducing the pale, soft and exudative (PSE) problem in pork and poultry meat","year":2007,"lang":"en","type":"article","venue":"Meat Science","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":370,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Poultry meat; Biology; Biotechnology; Meat packing industry; Food science","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":[0.002770249,0.0005861812,0.0006698131,0.001146702,0.0008478016,0.001844323,0.001318518,0.001301207,0.006888275],"category_scores_gemma":[0.002507343,0.0001715858,0.0007123944,0.0006640656,0.0008156442,0.0009409079,0.0008562698,0.001371468,0.001015292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000505249,"about_ca_system_score_gemma":0.001829334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008177524,"about_ca_topic_score_gemma":0.005840027,"domain_scores_codex":[0.9991124,0.0002051753,0.00008656654,0.0001808893,0.0003125075,0.000102375],"domain_scores_gemma":[0.9971911,0.000662236,0.0006178221,0.000208772,0.0009580956,0.0003620071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001600227,0.005304763,0.05361759,0.004867919,0.0002008095,0.0003208089,0.001045733,0.001356516,0.2948472,0.002805253,0.005329028,0.628704],"study_design_scores_gemma":[0.0003153812,0.009601388,0.2327168,0.001532865,0.00125398,0.003255583,0.005977877,0.003951503,0.4979877,0.002212352,0.2410732,0.0001213652],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8682702,0.07751766,0.02744102,0.007821685,0.0007714114,0.0002029815,0.0007135423,0.0006631885,0.01659837],"genre_scores_gemma":[0.8553337,0.06059273,0.050837,0.003479269,0.0008178733,0.0001551613,0.001111573,0.0001634839,0.02750915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008177524,"threshold_uncertainty_score":0.02304357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337514446971934,"score_gpt":0.2766151301677355,"score_spread":0.2432399856980161,"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."}}