{"id":"W2023858173","doi":"10.1021/jf803870k","title":"Isoflavonoid Content of Hong Kong Soy Foods","year":2009,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Cancer Care Ontario; University of Toronto","funders":"","keywords":"Isoflavones; Food science; Isoflavonoid; Soy bean; Daidzein; Soy protein; Population; Dry weight; Chemistry; Genistein; Biology; Botany; Flavonoid; Medicine; Biochemistry; Antioxidant","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222144,0.0002369818,0.0001427084,0.0005673436,0.0002119438,0.0002544342,0.00006343085,0.00006797374,0.0006460706],"category_scores_gemma":[0.0001738331,0.00009683245,0.0001533912,0.0004637482,0.0001277995,0.00008239032,0.0001181905,0.00008879562,0.00008290583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933437,"about_ca_system_score_gemma":0.0002108483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04938058,"about_ca_topic_score_gemma":0.04403339,"domain_scores_codex":[0.9999553,0.000005901505,0.000005301641,0.00001120524,0.00001091968,0.00001135974],"domain_scores_gemma":[0.9998723,0.00001875246,0.00004397015,0.00001010755,0.00003641887,0.0000183931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008675299,0.00006143819,0.7934576,0.0001952308,0.000223865,0.000580406,0.001299585,0.0002292346,0.1802672,0.00007720318,0.00016518,0.02257547],"study_design_scores_gemma":[0.000003333005,0.00009343363,0.9928977,0.000005969641,0.00004058802,0.00009143294,0.0002261593,0.00009536608,0.006159103,0.00000767247,0.0003751834,0.000003875912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993986,0.0001900974,0.00003633599,0.000004639793,9.012113e-7,0.000001863034,0.0001917355,0.000001500256,0.0001743228],"genre_scores_gemma":[0.9989705,0.0002239488,0.0001169268,0.00001280652,0.000001580098,0.0000028292,0.000301675,0.000001337988,0.000368452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04938058,"threshold_uncertainty_score":0.09818631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226809814602127,"score_gpt":0.254656079254296,"score_spread":0.2319750977940833,"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."}}