{"id":"W3203787510","doi":"10.52586/4957","title":"Gas chromatography-mass spectrometry metabolic profiling, molecular simulation and dynamics of diverse phytochemicals of Punica granatum L. leaves against estrogen receptor","year":2021,"lang":"en","type":"article","venue":"Frontiers in Bioscience-Landmark","topic":"Pomegranate: compositions and health benefits","field":"Nursing","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Punica; Phytochemical; Chemistry; Traditional medicine; Pharmacology; Biochemistry; Medicine","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":[0.0003268855,0.0001976301,0.000529154,0.000610183,0.0001402908,0.0000299459,0.0002557838,0.0001492317,0.000008112853],"category_scores_gemma":[0.0001443229,0.000197978,0.0001363571,0.001805377,0.0004064831,0.0001730022,0.00007238276,0.0001978595,4.201044e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008883245,"about_ca_system_score_gemma":0.00008367812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004151932,"about_ca_topic_score_gemma":0.00001141217,"domain_scores_codex":[0.9980999,0.0001239597,0.0005274793,0.0004580076,0.0003753436,0.0004153422],"domain_scores_gemma":[0.9990024,0.00006326439,0.0002861075,0.0003462279,0.0001589277,0.0001430918],"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":[0.0002537253,0.0003867934,0.3340676,0.0003551724,0.00008209047,0.00001435461,0.0003770466,0.001466298,0.6507953,0.001611915,0.0002005572,0.01038917],"study_design_scores_gemma":[0.002083494,0.0002898261,0.03263687,0.0004588621,0.0001336664,0.000006201587,0.001355274,0.105988,0.8508085,0.005318781,0.0003483738,0.0005720895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847507,0.005540135,0.00779106,0.0002865976,0.0007598597,0.000320981,0.0001559097,0.0000263947,0.0003683704],"genre_scores_gemma":[0.9235343,0.0007696898,0.07550213,0.00007110606,0.00002444773,0.000007446192,0.00006978292,0.00001568807,0.000005357424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3014307,"threshold_uncertainty_score":0.8073309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009602310073517636,"score_gpt":0.2649505822126328,"score_spread":0.2553482721391152,"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."}}