{"id":"W1965541932","doi":"10.1139/y10-020","title":"Effects of genistein and daidzein on erythrocyte membrane fluidity: an electron paramagnetic resonance study","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Daidzein; Genistein; Membrane fluidity; Electron paramagnetic resonance; Chemistry; Membrane; Red blood cell; Biophysics; Erythrocyte membrane; Internal medicine; Endocrinology; Biochemistry; Nuclear magnetic resonance; Biology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001188414,0.0002268791,0.0002201288,0.0001292338,0.0001293314,0.0001058754,0.00009073134,0.0002960031,0.0007597213],"category_scores_gemma":[0.0001676921,0.00009451749,0.0001906679,0.0001492717,0.0001849647,0.0001897726,0.0001183445,0.0003603148,0.0001030577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698985,"about_ca_system_score_gemma":0.0001269237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280242,"about_ca_topic_score_gemma":0.001774118,"domain_scores_codex":[0.9999285,0.00001930527,0.000004721352,0.00001249749,0.00001387399,0.00002115206],"domain_scores_gemma":[0.9999039,0.00003385197,0.00001801768,0.000007943184,0.00001588439,0.0000203827],"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":[0.001102545,0.00008582538,0.0001910052,0.00003394982,0.000009894918,0.00003748236,0.00004127643,0.00004211209,0.9971305,0.00002968301,0.00001560573,0.001280282],"study_design_scores_gemma":[0.00009340431,0.002861906,0.01263422,0.00000507392,0.00004963983,0.0001130536,0.00007739798,0.0004647948,0.9822944,0.00005996375,0.001337004,0.000009022875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979031,0.001109359,0.0003562304,0.00004617678,0.000009105123,0.00001027897,0.00008035338,0.000007072544,0.0004782594],"genre_scores_gemma":[0.9968486,0.00092275,0.0008175961,0.00005197753,0.000009422111,0.00001443153,0.0001425293,0.000004711462,0.001187919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001280242,"threshold_uncertainty_score":0.002545595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027475149052322,"score_gpt":0.3070833687120126,"score_spread":0.2968086172214894,"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."}}