{"id":"W1526349525","doi":"10.1111/hdi.12254","title":"Patient selection and training for home hemodialysis","year":2015,"lang":"en","type":"review","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Home hemodialysis; Hemodialysis; Medicine; Home dialysis; Selection (genetic algorithm); Renal replacement therapy; Dialysis; Training (meteorology); Patient choice; Intensive care medicine; Nursing; Surgery; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005380008,0.0004540003,0.002002845,0.0009280416,0.00009243091,0.0001312482,0.0001587502,0.0002399923,0.0001869884],"category_scores_gemma":[0.000210457,0.0003585617,0.001364106,0.0004420715,0.00004937625,0.00009536172,0.0001276717,0.0001993902,0.00004419246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004410626,"about_ca_system_score_gemma":0.000345105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001124599,"about_ca_topic_score_gemma":0.000006758401,"domain_scores_codex":[0.9972904,0.0001000792,0.0008489304,0.0007238653,0.0007415697,0.0002951609],"domain_scores_gemma":[0.9984921,0.0001395121,0.0004699585,0.0002745043,0.0003174319,0.0003064595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006278244,0.0001681807,0.00001153224,0.001805266,0.003368296,0.00001486705,0.0001710474,0.00001072785,7.42165e-7,0.0002797319,0.004076195,0.9900306],"study_design_scores_gemma":[0.0008429831,0.0001144458,0.00001094709,0.001523428,0.01036054,0.00005872277,0.0000588096,0.001539224,9.324684e-7,0.0002571768,0.9848792,0.0003535724],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001286705,0.9900877,0.002418369,0.0002155213,0.0007903933,0.001465773,0.0002320869,0.00009166222,0.00456984],"genre_scores_gemma":[0.0005960822,0.9901396,0.002986046,0.0001919462,0.001222698,0.0007048032,0.002730506,0.00008275303,0.001345558],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9896771,"threshold_uncertainty_score":0.9998866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06250457597496056,"score_gpt":0.3415733552125051,"score_spread":0.2790687792375445,"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."}}