{"id":"W2769346318","doi":"10.1016/b978-0-08-100722-8.00003-6","title":"Impact of processing on the chemistry and functionality of food proteins","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chemistry; Biomolecule; Food industry; Protein quaternary structure; Food products; Computational biology; Protein tertiary structure; Food protein; Nanotechnology; Biochemical engineering; Biochemistry; Food science; Biology; Engineering; Materials science","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":[0.000433158,0.0006330404,0.0002756368,0.000280983,0.0003120831,0.001039822,0.0004609274,0.0005848263,0.008081133],"category_scores_gemma":[0.0004010407,0.0002272959,0.0002469725,0.0003033387,0.0006721734,0.0009526926,0.0006052355,0.001090061,0.002475497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840306,"about_ca_system_score_gemma":0.0003573692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004820661,"about_ca_topic_score_gemma":0.0005393313,"domain_scores_codex":[0.999835,0.00002636952,0.00000685386,0.00003273307,0.00008208807,0.00001679162],"domain_scores_gemma":[0.9998003,0.0001377718,0.00001340084,0.00001095022,0.00002816316,0.000009548765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002538051,0.0001924643,0.0005013053,0.001619453,0.00001275467,0.0004259101,0.0004889639,0.0008816228,0.5394125,0.01938699,0.005182534,0.4316417],"study_design_scores_gemma":[0.00001608791,0.0009338545,0.006351713,0.0006913672,0.00003184729,0.002380943,0.0006349735,0.001788537,0.5451385,0.03315842,0.4087963,0.00007743761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1888928,0.3546445,0.04674828,0.006560276,0.003710731,0.0001045213,0.0004867889,0.0005013748,0.3983508],"genre_scores_gemma":[0.3083959,0.2763343,0.05143747,0.003307768,0.001327409,0.0001039392,0.0005336324,0.0004054105,0.3581542],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008081133,"threshold_uncertainty_score":0.0270341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707660506927331,"score_gpt":0.2733685452221075,"score_spread":0.2462919401528341,"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."}}