{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002419703,0.0002913483,0.0007298252,0.0001299255,0.0001018244,0.000004320113,0.0001427591,0.0002429579,0.0003190982],"category_scores_gemma":[0.0001147551,0.0002287492,0.00011809,0.0004058313,0.0009901263,0.00005861457,0.0001136941,0.0005886732,0.0000641205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006808673,"about_ca_system_score_gemma":0.00008285601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000048823,"about_ca_topic_score_gemma":0.000002943287,"domain_scores_codex":[0.9979888,0.0003182159,0.000455381,0.0005502923,0.00015481,0.0005324635],"domain_scores_gemma":[0.9984609,0.0007463168,0.0001296187,0.0002410505,0.00007523681,0.0003468224],"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":[0.0001727487,0.0009273248,0.02873507,0.0001081292,0.00007206975,0.00004716741,0.0001332031,0.000002132451,0.9638289,0.0001268445,0.0001380898,0.005708273],"study_design_scores_gemma":[0.002697487,0.0003111681,0.1641189,0.00002541458,0.0001660898,0.00005682629,0.00002550006,0.0008515632,0.8220004,0.0002002379,0.00930054,0.0002458648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949034,0.001526646,0.0002198226,0.0009467907,0.00009582082,0.0008756776,0.00005014728,0.00007627902,0.001305362],"genre_scores_gemma":[0.9946402,0.002524293,0.002045824,0.0004904353,0.00009741707,0.0000713291,0.00002201033,0.0000225831,0.00008594246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1418285,"threshold_uncertainty_score":0.9328123,"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."}}