{"id":"W4249956341","doi":"10.1111/hdi.12367","title":"Author Index","year":2015,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hemodialysis; Citation; Index (typography); Medicine; Library science; Computer science; World Wide Web; Internal medicine","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":[0.0005979651,0.001106066,0.001260093,0.005908217,0.001064386,0.004164604,0.001087239,0.001160855,0.7974181],"category_scores_gemma":[0.006785843,0.0003855338,0.0005040901,0.004425226,0.0003715832,0.002051411,0.001516934,0.001347426,0.7487176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081463,"about_ca_system_score_gemma":0.002540597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002169276,"about_ca_topic_score_gemma":0.003871492,"domain_scores_codex":[0.9994156,0.0000795449,0.00006777064,0.00006158817,0.000319884,0.00005551773],"domain_scores_gemma":[0.9961727,0.0004842003,0.0001906075,0.0002235795,0.002103962,0.0008249449],"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":[0.0000148862,0.00002549823,0.00007697508,0.0001134978,0.000001166122,0.00001690357,0.000006141834,0.00003401209,0.00005134903,0.0004981089,0.9514117,0.04774977],"study_design_scores_gemma":[0.00001409222,0.00001361969,0.0002977111,0.0002125121,0.000002833079,0.00005795872,0.00001852776,0.00007675538,0.0001091114,0.0009965438,0.9981943,0.000006068698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003958699,0.002772232,0.001478807,0.0038578,0.01263533,0.0004586704,0.02011264,0.002126156,0.9561625],"genre_scores_gemma":[0.001041286,0.001785382,0.0008140265,0.000951129,0.002258743,0.000164041,0.008767791,0.0005975369,0.98362],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2025819,"threshold_uncertainty_score":0.2889584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04465034883978704,"score_gpt":0.3366598627579023,"score_spread":0.2920095139181153,"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."}}