{"id":"W4404276880","doi":"10.1016/j.jafr.2024.101513","title":"Functional food candidate from Indonesian green algae Caulerpa racemosa (Försskal) J. Agardh by two extraction methods: Metabolite profile, antioxidant activity, and cytotoxic properties","year":2024,"lang":"en","type":"article","venue":"Journal of Agriculture and Food Research","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Green algae; Extraction (chemistry); Algae; Metabolite; Antioxidant; Botany; Indonesian; Chemistry; Biology; Biochemistry; Chromatography","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":[0.00005617441,0.0004055237,0.0002423973,0.0003249286,0.0001816748,0.0002572845,0.00009195627,0.0002167124,0.0006400964],"category_scores_gemma":[0.00007074545,0.00009948809,0.0003587785,0.0002243002,0.00009743524,0.0002097591,0.0001888675,0.0003137606,0.0001811622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496528,"about_ca_system_score_gemma":0.0001820794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006795226,"about_ca_topic_score_gemma":0.001644624,"domain_scores_codex":[0.9999567,0.00000414235,0.000003317468,0.00001407298,0.00001398323,0.000007748808],"domain_scores_gemma":[0.9999613,0.000005063273,0.0000114405,0.000003201654,0.00001204578,0.000006950292],"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":[0.00005262305,0.00001139068,0.0002528487,0.00004727732,0.000007541898,0.00007109944,0.00001188581,0.00002287104,0.9977563,0.00001691184,0.00001634387,0.001733047],"study_design_scores_gemma":[0.00001621671,0.0004595406,0.03174814,0.00002294827,0.0001197433,0.0008418218,0.000116555,0.000423424,0.9604955,0.00007029118,0.00566946,0.00001642264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905649,0.003870771,0.002890419,0.0001326258,0.00002156645,0.00004060907,0.0006874813,0.00005282357,0.001738854],"genre_scores_gemma":[0.9851129,0.001735718,0.007107678,0.0001387958,0.000009025891,0.00003316511,0.001432455,0.00002258958,0.00440773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006795226,"threshold_uncertainty_score":0.002141356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06402959359505501,"score_gpt":0.3269552584065124,"score_spread":0.2629256648114573,"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."}}