{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001786387,0.0005165085,0.0002275119,0.0008251254,0.0003618076,0.0008645065,0.0002022297,0.000410613,0.007715284],"category_scores_gemma":[0.0001349131,0.0001032811,0.0002683736,0.0008378896,0.0001953818,0.0005980899,0.0006647814,0.0005804542,0.005682463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003281664,"about_ca_system_score_gemma":0.0004417379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007453532,"about_ca_topic_score_gemma":0.001657884,"domain_scores_codex":[0.9998921,0.000009464199,0.00000744979,0.00001751764,0.00005902013,0.00001438847],"domain_scores_gemma":[0.9999663,0.000006501838,0.000006133882,0.000003800041,0.00001121767,0.000006138839],"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":[0.0001247938,0.0000703219,0.0005930139,0.002566736,0.00002520243,0.0006901015,0.0002144093,0.0003900568,0.5655302,0.02258766,0.009924363,0.3972832],"study_design_scores_gemma":[0.000005929865,0.00006872145,0.001294941,0.0004065298,0.00002300098,0.0008390434,0.0001048187,0.0001829568,0.1771481,0.002570649,0.8173416,0.00001370234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1201525,0.307992,0.05645163,0.002827074,0.001666274,0.0002794302,0.003355217,0.001200737,0.5060751],"genre_scores_gemma":[0.2407329,0.3445284,0.05900577,0.001146502,0.0005165495,0.0001639572,0.00384927,0.0005995648,0.3494571],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007715284,"threshold_uncertainty_score":0.02581018,"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."}}