{"id":"W2794656754","doi":"","title":"er jia shuang zuo dui tang niao bing he bing fu ke zhong liu huan zhe yu hou ying xiang de meta fen xi","year":2018,"lang":"en","type":"article","venue":"Jiefangjun yixue zazhi","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traditional medicine; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001422527,0.0006805462,0.001012567,0.0006488867,0.0007425997,0.0002026905,0.0004722697,0.0006997004,0.001370561],"category_scores_gemma":[0.0004604349,0.0005395481,0.0006983514,0.001226729,0.0003675349,0.0004061536,0.0003087287,0.000984858,0.001063828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003431567,"about_ca_system_score_gemma":0.0002342077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007677309,"about_ca_topic_score_gemma":0.000191079,"domain_scores_codex":[0.9956815,0.0002314348,0.000828042,0.0009766985,0.0007785077,0.001503764],"domain_scores_gemma":[0.9974358,0.0002571029,0.0003491369,0.001036778,0.0002655816,0.0006555692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00136522,0.001115042,0.1080966,0.001897343,0.01889259,0.005255403,0.01228201,0.0001295025,0.5832349,0.0009640526,0.209341,0.05742637],"study_design_scores_gemma":[0.01635694,0.002406474,0.1596905,0.0061414,0.02358695,0.004313356,0.008576018,0.02275975,0.1347982,0.0006656035,0.6151536,0.005551314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494901,0.00709331,0.0008464635,0.005096029,0.002845377,0.001170913,0.00003085769,0.000927798,0.03249909],"genre_scores_gemma":[0.9737181,0.0003376582,0.007099316,0.002653003,0.002546741,0.00005779808,0.00006888251,0.0002257755,0.01329274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4484367,"threshold_uncertainty_score":0.999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414579888892017,"score_gpt":0.2882638152346389,"score_spread":0.2541180163457187,"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."}}