{"id":"W2347076231","doi":"","title":"Research status of genistein based on bibliometrics.","year":2010,"lang":"en","type":"article","venue":"Xiandai shengwu yixue jinzhan","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genistein; Bibliometrics; China; Political science; Library science; Medicine; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007424432,0.000687377,0.002165669,0.1070156,0.0007013989,0.004417732,0.0007560148,0.0005750371,0.005749025],"category_scores_gemma":[0.03199291,0.0001948005,0.001506496,0.1494287,0.0004403533,0.002700828,0.0009428558,0.0003453161,0.00105423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814861,"about_ca_system_score_gemma":0.003543438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00425002,"about_ca_topic_score_gemma":0.004760314,"domain_scores_codex":[0.9908962,0.001566744,0.001898449,0.0007044382,0.004691769,0.0002423193],"domain_scores_gemma":[0.9698964,0.01519671,0.007493384,0.000819432,0.00594282,0.0006512535],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006735025,0.000212478,0.4273309,0.05012366,0.005378102,0.0004168891,0.000805642,0.001412785,0.002940133,0.002899259,0.02230716,0.4854994],"study_design_scores_gemma":[0.0001233399,0.0003295906,0.8703076,0.008459324,0.005346091,0.00126591,0.001753318,0.004592034,0.003240007,0.003319278,0.1011405,0.0001229867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3232405,0.5091768,0.003966011,0.005005277,0.0009092639,0.0005872334,0.1090374,0.0008475698,0.04722992],"genre_scores_gemma":[0.8087958,0.1404732,0.005615335,0.0002624347,0.0009770504,0.0004590878,0.0406426,0.00007148052,0.002702979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9925756,"threshold_uncertainty_score":0.03926462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06848690052631064,"score_gpt":0.433734304074415,"score_spread":0.3652474035481044,"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."}}