{"id":"W7088176540","doi":"10.1016/j.focha.2025.101132","title":"Computational analysis of azadirachta indica-derived phytochemicals targeting α-amylase and α-glucosidase for antidiabetic activity","year":2025,"lang":"en","type":"article","venue":"Food Chemistry Advances","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Azadirachta; In silico; Docking (animal); Lupeol; Virtual screening; Binding affinities; Stigmasterol","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":[0.0001014471,0.000176626,0.0006147616,0.00008878166,0.0001043941,0.000008446547,0.00007597351,0.00007842636,0.00002612485],"category_scores_gemma":[0.0004950918,0.0001561371,0.0001668604,0.0005577296,0.0002321663,0.00007183075,0.0000800834,0.0001266145,2.466391e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003122888,"about_ca_system_score_gemma":0.00005065886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001620187,"about_ca_topic_score_gemma":5.144922e-7,"domain_scores_codex":[0.9989455,0.00001278421,0.0002940555,0.0003516303,0.0001786432,0.0002174272],"domain_scores_gemma":[0.9990035,0.0004009877,0.0002044093,0.000139394,0.0001780134,0.00007367983],"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":[0.0002464931,0.0002734532,0.0206382,0.001760821,0.00247663,0.000002223677,0.00007579402,0.0002010521,0.9699438,0.00001554934,0.0002100726,0.004155864],"study_design_scores_gemma":[0.001201907,0.00008590926,0.01239947,0.0001484121,0.001563416,9.93536e-7,0.0001440254,0.001905783,0.9815553,0.0004293089,0.0004224817,0.0001430195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916986,0.005785518,0.001205036,0.0004931715,0.00003019987,0.0002713484,0.0001558315,0.00003448673,0.0003258033],"genre_scores_gemma":[0.9944615,0.0001413114,0.004947404,0.00007494449,0.00003832938,0.00004040141,0.0001417677,0.000007843008,0.0001465411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01161143,"threshold_uncertainty_score":0.6367087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00836163601702684,"score_gpt":0.2895355515828425,"score_spread":0.2811739155658157,"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."}}