{"id":"W4249409230","doi":"10.1111/hdi.12013","title":"Author Index","year":2013,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Citation; Medicine; Information retrieval; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003873717,0.0007042133,0.0008404059,0.00152636,0.0001192182,0.0005078635,0.001838944,0.0008142019,0.3629355],"category_scores_gemma":[0.000282123,0.0007105215,0.0007401143,0.000515559,0.00016627,0.0003895849,0.0004738719,0.0009428012,0.8086087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009844023,"about_ca_system_score_gemma":0.0003382525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004190507,"about_ca_topic_score_gemma":0.00004301144,"domain_scores_codex":[0.9953135,0.0001856963,0.0009277876,0.001060065,0.001948335,0.0005646715],"domain_scores_gemma":[0.9968634,0.0001647728,0.000836051,0.0009169739,0.0009648104,0.0002540113],"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":[0.0000369459,0.0001353312,0.0002254436,0.00001640519,0.001297418,0.000008080037,0.0000834912,0.000850298,0.0003885617,0.0004277878,0.9936442,0.002886031],"study_design_scores_gemma":[0.0005667257,0.00001108698,0.0004801549,0.00007212556,0.0001476124,0.00001643567,0.0000185205,0.008653585,0.000371292,0.0003087559,0.9886423,0.0007114335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001827951,0.0003565643,0.002823713,0.001261062,0.01741759,0.0004803859,0.002560262,0.0002058096,0.9730667],"genre_scores_gemma":[0.06745909,0.00004710934,0.0007857202,0.0004285489,0.005505815,0.0003767447,0.009267265,0.0003099783,0.9158197],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4456732,"threshold_uncertainty_score":0.9995346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750426531458976,"score_gpt":0.3108228413167036,"score_spread":0.2833185760021139,"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."}}