{"id":"W2024538500","doi":"10.1002/bit.21039","title":"Fluorescence spectroscopy as a tool for monitoring solubility and aggregation behavior of β‐lactoglobulin after heat treatment","year":2006,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Solubility; Chemistry; Fluorescence spectroscopy; Whey protein; Protein aggregation; Fluorescence; Denaturation (fissile materials); Chromatography; Ingredient; Fluorescence anisotropy; Active ingredient; Analytical Chemistry (journal); Biological system; Organic chemistry; Food science; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003635653,0.0003433905,0.0002600168,0.0004135504,0.0002024083,0.0002121057,0.0001886614,0.0004948939,0.0002005822],"category_scores_gemma":[0.0005012868,0.0001238879,0.0002579213,0.0003100977,0.0002251979,0.0003030352,0.0001446225,0.0003365047,0.00009860905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002901694,"about_ca_system_score_gemma":0.0001613429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147634,"about_ca_topic_score_gemma":0.0008948109,"domain_scores_codex":[0.9998505,0.00003894577,0.000006071716,0.00003783097,0.00005615572,0.0000104744],"domain_scores_gemma":[0.999849,0.00007582215,0.00003179366,0.00001170613,0.00002326638,0.000008387342],"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":[0.0001135985,0.00005302604,0.002386138,0.00003787219,0.00001361121,0.00002992128,0.00003490411,0.002306681,0.9775882,0.0001450281,0.00007781132,0.01721319],"study_design_scores_gemma":[0.000006789091,0.000292924,0.008625231,0.000004692828,0.0000233034,0.0001973371,0.0000210974,0.07324761,0.9167356,0.0001748697,0.0006520005,0.00001855448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8724534,0.00128322,0.1245263,0.0001467085,0.00002505817,0.0000316274,0.0001874656,0.0005826806,0.0007634922],"genre_scores_gemma":[0.9634147,0.0004799199,0.03549659,0.00003316061,0.00001039407,0.00002696448,0.000101955,0.00001587626,0.0004204291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001147634,"threshold_uncertainty_score":0.002281904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152121182182759,"score_gpt":0.224205586039212,"score_spread":0.2126843742173845,"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."}}