{"id":"W4230075627","doi":"10.1002/hdi.2001.5.1.107","title":"Subject Index","year":2001,"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":[],"category_scores_codex":[0.0001227356,0.00007228497,0.0001382514,0.0001435375,0.00002748261,0.00001913401,0.00009649733,0.00004708806,0.001213083],"category_scores_gemma":[0.0001279071,0.00005650738,0.0001837353,0.00013396,0.00003327063,0.00005913722,0.0000370307,0.00008550825,0.0002628141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004473874,"about_ca_system_score_gemma":0.00002488423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002258432,"about_ca_topic_score_gemma":0.000007151754,"domain_scores_codex":[0.9992826,0.0000162192,0.0001400598,0.000157316,0.0002972328,0.0001065926],"domain_scores_gemma":[0.9996328,0.00002383205,0.00003367872,0.0001590824,0.0001018014,0.00004881082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002870448,0.0002200686,0.9316943,0.000007099814,0.0004414268,0.0004187449,0.0001208022,0.00009703467,0.006127243,0.0008589876,0.003465348,0.05626195],"study_design_scores_gemma":[0.002247947,0.00008520172,0.8239977,0.0000358293,0.0001350138,0.001064648,0.00008954472,0.004944681,0.00543282,0.001209284,0.1605554,0.0002019393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9102974,0.00008648358,0.004959686,0.001775332,0.0002793481,0.0000682535,0.000002640654,0.00007371058,0.08245715],"genre_scores_gemma":[0.9917129,0.0001432798,0.0006670611,0.0005625308,0.0004014175,0.00001158542,0.00004875037,0.000007230247,0.006445297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.15709,"threshold_uncertainty_score":0.9997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482490330064194,"score_gpt":0.2931959787180017,"score_spread":0.2683710754173598,"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."}}