{"id":"W4394826412","doi":"10.5376/ijms.2024.14.0012","title":"Pharmacological Effects and Biological Activity Evaluation of Marine Bioactive Substances","year":2024,"lang":"en","type":"article","venue":"International Journal of Marine Science","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Marine ecosystem; Sustainability; Marine conservation; Ecology; Resource (disambiguation); Marine biodiversity; Aquatic biodiversity research; Environmental resource management; Ecosystem; Biology; Environmental science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004786181,0.0004859836,0.0004676839,0.000581791,0.0001922517,0.0003028506,0.0002122926,0.0003091737,0.001157921],"category_scores_gemma":[0.000384747,0.0001033934,0.0004461801,0.0003817773,0.0002341014,0.0003773054,0.0002844463,0.0006194291,0.0002929376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177363,"about_ca_system_score_gemma":0.0002493775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002722919,"about_ca_topic_score_gemma":0.000447796,"domain_scores_codex":[0.9997409,0.00005950745,0.00002554277,0.00003659517,0.0001064145,0.00003102498],"domain_scores_gemma":[0.9998387,0.00004524333,0.00003209922,0.000007694567,0.00005417241,0.00002204824],"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":[0.0002471735,0.0001683434,0.000544472,0.001439887,0.00005452262,0.0001414854,0.00004174228,0.0001518312,0.955711,0.0003491883,0.0003357155,0.04081455],"study_design_scores_gemma":[0.00004628992,0.004131125,0.007224046,0.0002136588,0.0001964714,0.000569128,0.0001087998,0.0005449017,0.9692211,0.0002696654,0.01744701,0.00002788658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766822,0.2746909,0.01797528,0.001166683,0.0005450386,0.0004373863,0.001452092,0.0001431102,0.02690738],"genre_scores_gemma":[0.8299592,0.1398368,0.01719939,0.0009082269,0.0002674484,0.000254188,0.0009826922,0.00002953316,0.01056255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001157921,"threshold_uncertainty_score":0.003873587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560154895541332,"score_gpt":0.350973143431733,"score_spread":0.3253715944763197,"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."}}