{"id":"W1969261151","doi":"10.1080/13880200701734810","title":"Antidiabetic Activity of<i>Nigella sativa</i>. Seed Extract in Cultured Pancreatic β-cells, Skeletal Muscle Cells, and Adipocytes","year":2008,"lang":"en","type":"article","venue":"Pharmaceutical Biology","topic":"Nigella sativa pharmacological applications","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Centre Hospitalier de l’Université de Montréal; Université de Montréal; University of Ottawa; Université Laval","funders":"Fonds de recherche du Québec; Canadian Diabetes Association","keywords":"Nigella sativa; Insulin; Glucose uptake; Internal medicine; Endocrinology; Triglyceride; Skeletal muscle; In vivo; Adipocyte; Rosiglitazone; Insulin resistance; Chemistry; Adipose tissue; Biology; Medicine; Traditional medicine; Cholesterol","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":[0.00009023452,0.000457068,0.0002599477,0.0003362465,0.0001865382,0.0001711706,0.0001641457,0.0001717596,0.0008153034],"category_scores_gemma":[0.00007921445,0.0001106252,0.0002857279,0.0002509005,0.0001217687,0.0001400708,0.0001709279,0.0003204348,0.0002292196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266801,"about_ca_system_score_gemma":0.0001853802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112869,"about_ca_topic_score_gemma":0.002132178,"domain_scores_codex":[0.9999605,0.00000858007,0.000005419956,0.00000653625,0.00001023474,0.00000874109],"domain_scores_gemma":[0.9999491,0.00001224915,0.00001213987,0.000004811982,0.00001000895,0.00001163488],"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":[0.0001732622,0.00003952247,0.0001276059,0.00008084271,0.000006544399,0.00005073972,0.00001749369,0.00002380492,0.9975617,0.00001897973,0.00002588449,0.001873557],"study_design_scores_gemma":[0.0000430972,0.001475691,0.01124784,0.000024598,0.0000739422,0.0002755343,0.00005330399,0.0002668788,0.9822374,0.00003365504,0.00426002,0.00000810188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883271,0.006755222,0.001035912,0.0001124827,0.00003679875,0.00002299238,0.0003393093,0.00007832324,0.003291892],"genre_scores_gemma":[0.9894777,0.003837175,0.00223717,0.0001400802,0.0000234427,0.00003294459,0.001075281,0.00002718783,0.003149097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001112869,"threshold_uncertainty_score":0.002727449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361740871975973,"score_gpt":0.3375703022812943,"score_spread":0.2939528935615346,"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."}}