{"id":"W4390812480","doi":"10.1111/hdi.13130","title":"ISSUE INFORMATION","year":2024,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Medicine; Internet privacy; Information retrieval; Library science; Computer science","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":[0.0001403554,0.0002193224,0.000387551,0.0005528511,0.00002906915,0.0001438068,0.0001905013,0.0002863657,0.02000651],"category_scores_gemma":[0.0001085677,0.0001709176,0.0004893913,0.0001725043,0.0000439494,0.0001935156,0.0001232348,0.0004021349,0.2051588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567219,"about_ca_system_score_gemma":0.0001385384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002461475,"about_ca_topic_score_gemma":0.000001248831,"domain_scores_codex":[0.998625,0.00002083081,0.0003956811,0.0002329251,0.0005792311,0.000146374],"domain_scores_gemma":[0.9992689,0.00002657933,0.0001179633,0.0002666643,0.0002553525,0.00006450772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004236631,0.00002899554,0.00002160886,0.0002057567,0.0007597089,0.00002528707,0.0001453671,0.00005558813,0.0001000959,0.0001204418,0.9750026,0.02349221],"study_design_scores_gemma":[0.0003297449,0.00003363083,0.0001090783,0.0002374179,0.0003113978,0.0001006075,0.00004118247,0.000540456,0.0008941935,0.00008810651,0.9971536,0.0001605803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001433388,0.001868743,0.001786614,0.004167044,0.0152392,0.0002843277,0.000361285,0.0001099585,0.9747494],"genre_scores_gemma":[0.01149179,0.002196751,0.001257964,0.001926034,0.005035668,0.0001011495,0.01122809,0.00003742652,0.9667251],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1851523,"threshold_uncertainty_score":0.9808893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668095315830593,"score_gpt":0.3013048331862272,"score_spread":0.2846238800279213,"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."}}