{"id":"W4318827234","doi":"10.3390/md21020102","title":"In Vitro Bioaccessibility of Proteins and Bioactive Compounds of Wild and Cultivated Seaweeds from the Gulf of Saint Lawrence","year":2023,"lang":"en","type":"article","venue":"Marine Drugs","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de la Gaspésie et des Îles; Université Laval","funders":"Institut sur la Nutrition et les Aliments Fonctionnels; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Digestion (alchemy); Antioxidant; Biology; In vitro; Hydrolysis; Food science; Algae; Chemistry; Botany; Biochemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003029673,0.0001105791,0.0002386405,0.00004584012,0.00002396869,0.000006434615,0.0001426804,0.00007494912,0.000004479504],"category_scores_gemma":[0.00008871673,0.00007634778,0.00004543495,0.0002433005,0.0004164919,0.000006996128,0.0004499116,0.00006975354,1.681502e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009147377,"about_ca_system_score_gemma":0.00002556824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014296,"about_ca_topic_score_gemma":0.0002912279,"domain_scores_codex":[0.9991716,0.00009009749,0.0002610675,0.0002540834,0.0001076188,0.0001155213],"domain_scores_gemma":[0.9994473,0.00004900694,0.0001511165,0.0002531084,0.00007297625,0.00002649443],"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":[0.0004011978,0.00007610399,0.07139885,0.00003912072,0.00006252241,4.315353e-7,0.0002442558,0.000002501722,0.9226611,0.00002305855,0.00001396454,0.005076867],"study_design_scores_gemma":[0.0004268704,0.0001382339,0.1734641,0.00002184489,0.00001231872,3.766235e-7,0.0002565297,0.0001718299,0.8248622,0.0003947954,0.0001816131,0.00006930221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989731,0.0001987847,0.00002344963,0.000188904,0.00001181271,0.0002759351,0.0001513515,0.000003903908,0.0001727076],"genre_scores_gemma":[0.9992983,0.0001487603,0.0003382652,0.00002560134,0.00001968818,0.00001854205,0.0000983874,0.000006497979,0.00004592382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1020653,"threshold_uncertainty_score":0.9964486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009806374871059918,"score_gpt":0.2489943277417965,"score_spread":0.2391879528707366,"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."}}