{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002505843,0.000203651,0.0004599837,0.008690163,0.0002039259,0.000073565,0.0003005347,0.0002547721,0.001032825],"category_scores_gemma":[0.001805367,0.0001515347,0.0001977394,0.01088359,0.0004291634,0.00008296363,0.000106253,0.001639785,0.0001981182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009754472,"about_ca_system_score_gemma":0.0008107523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003406552,"about_ca_topic_score_gemma":0.00004051911,"domain_scores_codex":[0.995855,0.0002339972,0.0003618549,0.0004713634,0.001940945,0.001136796],"domain_scores_gemma":[0.9965591,0.0007958828,0.00007475814,0.00100659,0.0007675585,0.0007960497],"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":[0.002171939,0.002930549,0.07334843,0.001006682,0.0001584759,0.0003963543,0.0002302672,0.00003966088,0.823474,0.00302053,0.01866185,0.07456122],"study_design_scores_gemma":[0.008424736,0.008131334,0.2076454,0.0004142713,0.00008638229,0.00004722931,0.0002533116,0.006431632,0.5300621,0.0003455108,0.237635,0.0005230896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481511,0.0002644999,0.00007620788,0.0008021786,0.0003514317,0.0007738,0.00005472905,0.00005619415,0.0494699],"genre_scores_gemma":[0.9967566,0.00009917777,0.0009895731,0.0001381817,0.0003919725,0.00004706293,0.00004233797,0.00005464156,0.001480466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2934119,"threshold_uncertainty_score":0.9998804,"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."}}