{"id":"W2894843969","doi":"10.1002/9781119385332.ch11","title":"Seaweeds as a Source of Proteins for Use in Pharmaceuticals and High‐Value Applications","year":2018,"lang":"en","type":"other","venue":"","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Cape Breton University","funders":"Mitacs","keywords":"Sustainability; Raw material; Value (mathematics); Amino acid; Biochemical engineering; Chemistry; Extraction (chemistry); Biotechnology; Computational biology; Computer science; Biology; Biochemistry; Engineering; Organic chemistry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001162504,0.0001692829,0.0002273722,0.00009013809,0.00001856759,0.00001422859,0.0001215878,0.0002862082,0.000163625],"category_scores_gemma":[0.00003736993,0.0001412053,0.00006789454,0.00006516506,0.0001728659,0.000001474422,0.00009446861,0.00004498439,0.000009090485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005232795,"about_ca_system_score_gemma":0.00004111889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009986012,"about_ca_topic_score_gemma":0.0003241541,"domain_scores_codex":[0.9992051,0.00003244344,0.0001692444,0.0003651804,0.00007205134,0.0001559469],"domain_scores_gemma":[0.9994942,0.00001431063,0.0001208838,0.0002702214,0.00004485485,0.00005551277],"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":[0.0002058763,0.0003116819,0.0010377,0.0003628525,0.0003811443,4.100836e-7,0.00001025344,0.000002267687,0.9346027,0.001731746,0.04387903,0.01747433],"study_design_scores_gemma":[0.0003990069,0.0001696698,0.00003645462,0.00003734346,0.00003454966,0.000001466657,0.000004773589,0.00004188145,0.2953058,0.0001027238,0.703713,0.0001533829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1158764,0.01449959,0.437241,0.0008120635,0.0001988872,0.0303864,0.001136251,0.0002326784,0.3996167],"genre_scores_gemma":[0.09867332,0.001048416,0.03938692,0.0003813106,0.0007327207,0.00227815,0.0003387428,0.0003413461,0.8568191],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.659834,"threshold_uncertainty_score":0.5758184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816248929322964,"score_gpt":0.3053617304480756,"score_spread":0.287199241154846,"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."}}