{"id":"W2098684826","doi":"10.1111/j.1745-4549.2007.00127.x","title":"PARTICLE SIZE EFFECT ON SOY PROTEIN ISOLATE EXTRACTION","year":2007,"lang":"en","type":"article","venue":"Journal of Food Processing and Preservation","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Institute of Environmental Health Sciences","keywords":"Soy protein; Soy flour; Particle size; Raw material; Food science; Chemistry; Extraction (chemistry); High protein; Particle (ecology); Chromatography; Biology","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":[0.0006290602,0.00005441991,0.00007685505,0.000007709109,0.0001595799,0.00006322036,0.00005569682,0.00004173567,0.00001068343],"category_scores_gemma":[0.0001035246,0.00002096202,0.00002691443,0.0001605329,0.00001221414,0.000421232,0.00000692177,0.00008531493,0.000001451982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009106049,"about_ca_system_score_gemma":0.000005639512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006463655,"about_ca_topic_score_gemma":0.0000197691,"domain_scores_codex":[0.9994664,0.00003010587,0.0001940397,0.00007239659,0.0001386561,0.00009841051],"domain_scores_gemma":[0.9994462,0.0001746255,0.0002141631,0.00001904441,0.00009247173,0.00005346115],"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":[0.0001485163,0.00005254042,0.0008760247,0.00001081513,0.000004704636,4.342092e-7,0.00005477543,0.000001988829,0.586672,0.00006836162,0.00003463775,0.4120752],"study_design_scores_gemma":[0.0004744917,0.004703533,0.4182634,0.0001869293,0.00002970851,0.00002532734,0.0001058733,0.0003271914,0.5570001,0.005204195,0.01353224,0.0001470101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980236,0.0003026159,0.0001192823,0.001168267,0.00002230551,0.00009941959,0.00000131221,0.00001158564,0.0002516204],"genre_scores_gemma":[0.999501,0.00001018869,0.0001034713,0.00008304197,0.0002320791,0.000003166772,0.000001392571,5.725857e-7,0.00006502795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4173874,"threshold_uncertainty_score":0.1227376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561190848367864,"score_gpt":0.2719386971440708,"score_spread":0.2463267886603922,"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."}}