{"id":"W4410952498","doi":"10.3390/su17115110","title":"Recent Advances in Protein Extraction Techniques for Meat Secondary Streams","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"STREAMS; Extraction (chemistry); Environmental science; Computer science; Chemistry; Chromatography","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":[0.003798167,0.001507173,0.001042473,0.003324936,0.0005376252,0.001896412,0.0009612802,0.001228981,0.002622956],"category_scores_gemma":[0.002885231,0.0007708869,0.001310503,0.003306864,0.001050183,0.00276783,0.001137071,0.002118714,0.002442407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008673394,"about_ca_system_score_gemma":0.001051997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259187,"about_ca_topic_score_gemma":0.001859016,"domain_scores_codex":[0.9981153,0.0003544026,0.0001883616,0.0005118597,0.0007242889,0.0001058309],"domain_scores_gemma":[0.9975061,0.00127246,0.0004016496,0.0001180948,0.0006480945,0.00005363587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002921402,0.0002754327,0.002319019,0.04017535,0.0003715804,0.0007279914,0.0006562313,0.002111966,0.2533308,0.007422843,0.007576691,0.68474],"study_design_scores_gemma":[0.00002626134,0.0006462976,0.006140239,0.00315617,0.0004936549,0.003238595,0.0005418915,0.00310207,0.2364782,0.005595963,0.7403712,0.000209445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01636554,0.9213391,0.04700868,0.00154131,0.0006677028,0.0001499582,0.0003731159,0.000175724,0.01237892],"genre_scores_gemma":[0.03939164,0.9119099,0.04151288,0.0009489692,0.0005535505,0.0001743714,0.0006508259,0.00008417064,0.004773677],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003798167,"threshold_uncertainty_score":0.02008688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552695155594267,"score_gpt":0.3087058818819471,"score_spread":0.2931789303260044,"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."}}