{"id":"W4392168462","doi":"10.1111/1750-3841.16981","title":"Designing novel industrial and functional foods using the bioactive compounds from <i>Nigella sativa</i> L. (black cumin): Biochemical and biological prospects toward health implications","year":2024,"lang":"en","type":"article","venue":"Journal of Food Science","topic":"Nigella sativa pharmacological applications","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Jordan University of Science and Technology","keywords":"Nigella sativa; Nutraceutical; Functional food; Thymoquinone; Food science; Polyphenol; Biotechnology; Health benefits; Antifungal; Food industry; Cannabis sativa; Antimicrobial; Antioxidant; Traditional medicine; Chemistry; Biology; Medicine; Botany; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008924535,0.0001418515,0.0002786855,0.0001212194,0.0003676661,0.0001425167,0.000170715,0.00008472053,0.00001267764],"category_scores_gemma":[0.0002505646,0.0000816071,0.00006270407,0.0008658314,0.001573619,0.0001815217,0.0001053621,0.0006426711,0.000001072634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392451,"about_ca_system_score_gemma":0.0009575429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001237333,"about_ca_topic_score_gemma":6.008069e-7,"domain_scores_codex":[0.9985219,0.0000553141,0.0004270004,0.0003495366,0.0003905939,0.00025562],"domain_scores_gemma":[0.9985241,0.0005966679,0.0002294875,0.0001208803,0.0002063628,0.0003225575],"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":[0.0001062436,0.0001088406,0.002771417,0.00000942742,0.00005798839,0.000001936494,0.0005618721,0.000006140481,0.9931751,0.001411475,0.0005357192,0.001253854],"study_design_scores_gemma":[0.005199305,0.007267848,0.1808133,0.0008001306,0.0004565399,0.003268988,0.004175665,0.005336418,0.7668221,0.021794,0.003370312,0.0006953831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534471,0.00143731,0.03016167,0.01418891,0.0001701815,0.0004386087,0.00003614071,0.00002330752,0.000096788],"genre_scores_gemma":[0.9853114,0.0001008821,0.01356184,0.0005487463,0.0004569749,0.000007341236,0.00000236271,0.000007237693,0.000003171743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.226353,"threshold_uncertainty_score":0.5798064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2034305611586708,"score_gpt":0.3736652058312637,"score_spread":0.1702346446725929,"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."}}