{"id":"W2752409060","doi":"10.22175/mmb2016.11.0004","title":"The Influence of Particle Size and Protein Content in Particle-Filled Myofibrillar Protein Gels","year":2017,"lang":"en","type":"article","venue":"Meat and Muscle Biology","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Filler (materials); Particle size; Microstructure; Materials science; Particle (ecology); Volume fraction; Chemical engineering; Micrometer; Phase (matter); Composite material; Chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005433712,0.00009281142,0.0001838914,0.000001968841,0.0003565887,0.0000539998,0.0001619277,0.00006669079,0.00001429437],"category_scores_gemma":[0.000656226,0.00003132753,0.00002634683,0.00003545079,0.0004438779,0.0000734224,0.0001356695,0.00005946708,0.000002216427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003607896,"about_ca_system_score_gemma":0.000004459278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113453,"about_ca_topic_score_gemma":0.001072212,"domain_scores_codex":[0.9990909,0.0001465972,0.000223171,0.0002374842,0.00005791076,0.0002439793],"domain_scores_gemma":[0.9995272,0.000136768,0.0001145585,0.0001097839,0.00004725933,0.00006438491],"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":[0.00006892294,0.00001899331,0.08477981,0.000007846246,0.000003789545,7.937326e-7,0.00005638647,8.172736e-8,0.8870174,0.003945151,0.000002018204,0.02409882],"study_design_scores_gemma":[0.0002560384,0.0002716458,0.8890121,0.00002201237,0.000002700855,0.000001007621,0.0001353542,0.00001032212,0.1060542,0.001264253,0.002888982,0.00008134138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954098,0.0005031776,8.948209e-8,0.003520746,0.00001790602,0.000428265,0.000006491316,0.00001075143,0.0001027703],"genre_scores_gemma":[0.9994427,0.00009071999,0.00001425004,0.00005294974,0.00005044027,0.00003197265,7.521737e-7,6.230554e-7,0.0003155748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8042323,"threshold_uncertainty_score":0.2742628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05766244882301467,"score_gpt":0.2628970115763264,"score_spread":0.2052345627533118,"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."}}