{"id":"W2103773142","doi":"10.1016/j.jfoodeng.2007.03.002","title":"Starch–protein separation from chickpea flour using a hydrocyclone","year":2007,"lang":"en","type":"article","venue":"Journal of Food Engineering","topic":"Food composition and properties","field":"Nursing","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Defatting; Hydrocyclone; Starch; Chemistry; Food science; Arithmetic underflow; Distilled water; Chromatography","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":[0.0003118317,0.0001244021,0.000193555,0.0002160456,0.00006056525,0.00005397743,0.0001128387,0.00006460556,0.00002001668],"category_scores_gemma":[0.00004036727,0.0001159386,0.00009819437,0.0001422609,0.000009467164,0.0002907734,0.00001523656,0.0003064288,0.000004303734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298439,"about_ca_system_score_gemma":0.00001496035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002403297,"about_ca_topic_score_gemma":0.000008483074,"domain_scores_codex":[0.9989879,0.00002159171,0.0004272066,0.00008203376,0.0002701426,0.0002111082],"domain_scores_gemma":[0.9995185,0.00003768359,0.0001603511,0.00009708975,0.00007804447,0.0001083444],"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":[0.0009129585,0.00003454549,0.00003543506,0.00002295967,0.00007447808,0.00002145815,0.0008609989,0.03475147,0.9592732,0.00001754906,0.00001900951,0.003975924],"study_design_scores_gemma":[0.001116591,0.002935977,0.001475892,0.0005226739,0.00006414044,0.0002102806,0.0001714751,0.04201687,0.9473467,0.0002504445,0.003586933,0.0003020266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758469,0.001067211,0.02181901,0.0001976548,0.0008576338,0.00006803211,0.000002909999,0.00003986175,0.0001007392],"genre_scores_gemma":[0.9829834,0.000002428268,0.0162347,0.00005107135,0.000697473,3.857935e-7,0.000001563765,0.00002476121,0.00000418038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01192652,"threshold_uncertainty_score":0.4727839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864218389186516,"score_gpt":0.2511952575385707,"score_spread":0.2325530736467055,"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."}}