{"id":"W2374058115","doi":"","title":"Bibliometric analysis of research papers on mutant prevention concentration","year":2010,"lang":"en","type":"article","venue":"Chinese Journal of Drug Application and Monitoring","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; China; MEDLINE; Bibliometrics; Science Citation Index; Citation; Family medicine; Library science","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0135291,0.001219373,0.004135975,0.2388744,0.001356408,0.00516495,0.001454169,0.0009306867,0.007221493],"category_scores_gemma":[0.09852274,0.000376693,0.003828486,0.253774,0.0008373545,0.004162463,0.001928532,0.0005019308,0.001032511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003733559,"about_ca_system_score_gemma":0.005921344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00455441,"about_ca_topic_score_gemma":0.004221315,"domain_scores_codex":[0.9712922,0.00448311,0.008341145,0.001647224,0.01355808,0.0006782099],"domain_scores_gemma":[0.896338,0.05897566,0.02171323,0.00209089,0.01970376,0.001178346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001366736,0.0003489714,0.3349382,0.137003,0.0107586,0.001675004,0.003061505,0.003684648,0.003768211,0.00396972,0.02116557,0.4782599],"study_design_scores_gemma":[0.0003525949,0.0008703735,0.8478055,0.02025787,0.01851644,0.003905909,0.007204696,0.008978626,0.004254514,0.006356794,0.08118299,0.0003136155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4715449,0.3788918,0.008496648,0.004627109,0.001127051,0.003330427,0.09363587,0.0008259024,0.03752027],"genre_scores_gemma":[0.8150198,0.1330156,0.01293172,0.0003301629,0.001167373,0.00249604,0.03221447,0.000104633,0.002720203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7611256,"threshold_uncertainty_score":0.07154959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777798816639439,"score_gpt":0.435835863956052,"score_spread":0.3980578757896576,"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."}}