{"id":"W3149072069","doi":"10.1016/j.jobab.2021.04.004","title":"Extraction and Characterization of Myofibrillar Proteins from Different Meat Sources: A Comparative Study","year":2021,"lang":"en","type":"article","venue":"Journal of Bioresources and Bioproducts","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Council of Agricultural Research","keywords":"Myofibril; Chemistry; Tropomyosin; Myosin; Denaturation (fissile materials); Chromatography; Food science; Biochemistry; Nuclear chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003668997,0.0004097426,0.0002805293,0.0006708452,0.0002613445,0.000266079,0.000182949,0.0003214648,0.0005358061],"category_scores_gemma":[0.000313618,0.0001177447,0.0003457122,0.0005135562,0.0002003513,0.0004192041,0.000209548,0.0002905883,0.0001943254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026935,"about_ca_system_score_gemma":0.0001149695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005082299,"about_ca_topic_score_gemma":0.001272997,"domain_scores_codex":[0.9997807,0.00002675024,0.00002323047,0.00007370569,0.00007185329,0.00002375946],"domain_scores_gemma":[0.9998012,0.00003888114,0.0000545765,0.00001273515,0.00006828736,0.00002434415],"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":[0.00009942186,0.00003419596,0.001283356,0.000187181,0.00002299588,0.00008961072,0.00006722044,0.00001802896,0.9949549,0.00001239677,0.00001202957,0.003218763],"study_design_scores_gemma":[0.00000969563,0.001172054,0.141254,0.00006840422,0.0002524615,0.002642376,0.0003330957,0.0005034303,0.8476427,0.00005279793,0.00604662,0.00002231247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848125,0.008285399,0.005562076,0.00005532722,0.00002550926,0.00004674132,0.000251011,0.00001585998,0.0009456316],"genre_scores_gemma":[0.966335,0.007873475,0.02016372,0.0001686712,0.00004790219,0.00006635172,0.001567243,0.0000380895,0.003739597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006708452,"threshold_uncertainty_score":0.00194037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04512979446416295,"score_gpt":0.2573750298478745,"score_spread":0.2122452353837115,"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."}}