{"id":"W2130457075","doi":"10.5539/jfr.v1n4p174","title":"Comparison of Chromatographic and Titrimetric Methods for the Determination of the a-amino Nitrogen in Standard Solution and Fish Protein Hydrolysates","year":2012,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Titration; Chemistry; Chromatography; Hydrolysate; High-performance liquid chromatography; Correlation coefficient; Coefficient of variation; Fish <Actinopterygii>; Relative standard deviation; Nitrogen; Detection limit; Hydrolysis; Biochemistry; Mathematics; Fishery","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":[0.004364317,0.001026968,0.0006711921,0.001905794,0.0004440456,0.0005291697,0.0009199029,0.001087332,0.0005598737],"category_scores_gemma":[0.006038829,0.0005279789,0.0005489776,0.0009770595,0.0008480153,0.0006567038,0.0005963123,0.001044089,0.0004494797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005235259,"about_ca_system_score_gemma":0.000824206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603546,"about_ca_topic_score_gemma":0.003610453,"domain_scores_codex":[0.9924213,0.002094912,0.0004123967,0.001054945,0.003887584,0.000128892],"domain_scores_gemma":[0.9955119,0.002036617,0.0005364601,0.0003997438,0.001366609,0.0001485585],"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":[0.0002123764,0.0001212042,0.001886327,0.0002241427,0.00008125539,0.00003389927,0.000121268,0.0003970469,0.9765222,0.000206937,0.00008225525,0.02011118],"study_design_scores_gemma":[0.00004708318,0.0009883229,0.01258342,0.00003810985,0.0001987381,0.0006897063,0.0001372417,0.01199613,0.9698803,0.0002604887,0.003081127,0.00009934873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6337295,0.008221366,0.3477933,0.0003984349,0.0007460513,0.0006567455,0.0005540929,0.0009751467,0.006925441],"genre_scores_gemma":[0.4874882,0.005480099,0.4984573,0.0004588124,0.0001448045,0.00122314,0.0007331752,0.000154333,0.005860068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004364317,"threshold_uncertainty_score":0.02308095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07542518007134467,"score_gpt":0.4312871486284887,"score_spread":0.355861968557144,"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."}}