{"id":"W4206499527","doi":"10.1111/hdi.12014","title":"Subject Index","year":2013,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subject (documents); Index (typography); Citation; Medicine; Library science; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008203766,0.00007145156,0.0001345256,0.0001249475,0.00002360826,0.00003254937,0.00009789871,0.00004649732,0.003277874],"category_scores_gemma":[0.0001246354,0.00005319787,0.0001689642,0.00008992492,0.00003506786,0.00009609022,0.00004223029,0.00008380043,0.001131469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003749652,"about_ca_system_score_gemma":0.00002203803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007792508,"about_ca_topic_score_gemma":0.000003052501,"domain_scores_codex":[0.9993165,0.00001581999,0.0001415415,0.0001483259,0.000274003,0.0001038552],"domain_scores_gemma":[0.9995773,0.00002559334,0.0000340335,0.0001575352,0.0001521417,0.00005338638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001000974,0.0003398616,0.8210256,0.00002269027,0.0008779156,0.00009170748,0.000252738,0.00008864109,0.03184209,0.001493466,0.02573423,0.118131],"study_design_scores_gemma":[0.001287059,0.0000561871,0.9611548,0.0000247988,0.00007317211,0.0001704658,0.00008616377,0.005730416,0.009201994,0.001822589,0.02023995,0.0001523707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413785,0.0000560609,0.002390956,0.002239396,0.000250008,0.0001295806,0.000002225351,0.00006809942,0.05348517],"genre_scores_gemma":[0.9926183,0.00003084112,0.001167628,0.0006423062,0.0002872153,0.00004060204,0.00004168272,0.00000710909,0.005164349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1401293,"threshold_uncertainty_score":0.9996462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829052415377376,"score_gpt":0.2722961587808067,"score_spread":0.254005634627033,"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."}}