{"id":"W4284898942","doi":"10.1111/hdi.12933","title":"Issue Information","year":2022,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001396958,0.00105111,0.000957081,0.004940676,0.001650584,0.006801493,0.001357177,0.002327057,0.902339],"category_scores_gemma":[0.01260121,0.0005397471,0.0005831712,0.004552901,0.0005411477,0.004323547,0.002370771,0.001921082,0.8427861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350695,"about_ca_system_score_gemma":0.002163414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002421124,"about_ca_topic_score_gemma":0.004097467,"domain_scores_codex":[0.9987378,0.0002152171,0.00008821043,0.0001362208,0.0007126491,0.0001099675],"domain_scores_gemma":[0.9922523,0.001849535,0.0003151152,0.0006109157,0.003454841,0.001517211],"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":[0.000009777807,0.00001138826,0.00004371874,0.00006477869,4.83545e-7,0.000009693264,0.00001036959,0.00001674897,0.00003422895,0.0008821433,0.9843898,0.01452679],"study_design_scores_gemma":[0.00001676295,0.00001062423,0.000207527,0.00009477711,0.00000135822,0.00002397614,0.00004542388,0.00006346289,0.00006740062,0.001078499,0.9983851,0.000005018813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002624512,0.0003327597,0.0008052742,0.003803167,0.006621611,0.0002443192,0.03023385,0.002533803,0.9551626],"genre_scores_gemma":[0.0008675209,0.0002591964,0.0004776471,0.001217616,0.000935735,0.0001192472,0.01344824,0.0007639006,0.981911],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09766102,"threshold_uncertainty_score":0.1393015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133787636018074,"score_gpt":0.2793146294607083,"score_spread":0.2679767531005275,"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."}}