{"id":"W4233234438","doi":"10.1111/1744-9987.12622","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Therapeutic Apheresis and Dialysis","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Citation; Apheresis; Library science; Information retrieval; Computer science; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004285708,0.0002910719,0.0008140393,0.0003210774,0.000242543,0.0003217245,0.0002615762,0.0002512048,0.2181177],"category_scores_gemma":[0.0000226991,0.0002975863,0.000215125,0.0002253818,0.0002260457,0.0003738726,0.0001368134,0.0001157658,0.4531162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006131695,"about_ca_system_score_gemma":0.00001912525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000395305,"about_ca_topic_score_gemma":0.00001173425,"domain_scores_codex":[0.9984745,0.00001656012,0.000690302,0.0004517927,0.00004490453,0.0003219589],"domain_scores_gemma":[0.99883,0.00004668927,0.0005610257,0.0004272221,0.0000476572,0.00008742315],"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":[0.00001523932,0.00001774509,0.00009324698,0.00004844634,0.0005195813,1.141846e-7,0.001027133,0.00000443947,4.431422e-7,0.003928137,0.9881197,0.006225789],"study_design_scores_gemma":[0.0002933762,0.00002787019,0.0001452887,0.00001508346,0.00007095611,3.639633e-7,0.0004818452,0.0001258759,0.000008059207,0.001909232,0.9965616,0.0003603888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004104624,0.01455277,0.0004522137,0.0002344917,0.006159439,0.0001772008,0.001194179,0.00002437082,0.9767949],"genre_scores_gemma":[0.007014022,0.007666608,0.0001397168,0.00113575,0.0007177222,0.00003559965,0.0001783132,0.00002631473,0.9830859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2349984,"threshold_uncertainty_score":0.9999476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048896127802115,"score_gpt":0.2231979517531784,"score_spread":0.1927089904751573,"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."}}