{"id":"W2560951148","doi":"10.2196/iproc.6080","title":"Lower Risk of Home Hemodialysis Attrition in Patients Using Nx2me Connected Health Technology","year":2016,"lang":"en","type":"article","venue":"Iproceedings","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemodialysis; Medicine; Home hemodialysis; Psychosocial; Dialysis; Attrition; Telemedicine; Telehealth; Quality of life (healthcare); Intensive care medicine; Blood pressure; Session (web analytics); Health care; Internal medicine; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.000614361,0.0002212782,0.0002562621,0.0006440157,0.0005033687,0.0005583961,0.0003563199,0.0005094337,0.002460587],"category_scores_gemma":[0.00338332,0.0001476279,0.0006394302,0.0005676462,0.0001935956,0.0003594233,0.0004100642,0.0005783775,0.0001344889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002153642,"about_ca_system_score_gemma":0.0003084739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003419274,"about_ca_topic_score_gemma":0.003104404,"domain_scores_codex":[0.9994937,0.0001610448,0.0000471052,0.0001342264,0.0000886768,0.00007525645],"domain_scores_gemma":[0.9980726,0.0004474949,0.0009776369,0.0001300471,0.0001485533,0.000223527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001986255,0.00007321952,0.9974764,0.00001036296,0.0000469796,0.00002830093,0.00004578021,0.00001626111,0.00006839156,0.00002020675,0.00009595737,0.001919435],"study_design_scores_gemma":[0.00001649018,0.0002544623,0.9988046,0.0000137193,0.00005667682,0.0001325854,0.0001045782,0.0003160592,0.00005706048,0.00003669843,0.0002032986,0.000003815907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991753,0.0001492865,0.0001180912,0.00004707097,0.000007184482,0.000009524175,0.0001685679,0.000003145794,0.000321795],"genre_scores_gemma":[0.9994148,0.00005250923,0.0001240905,0.00003855376,0.00001175276,0.000009959336,0.0001610068,0.00000143426,0.0001858082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003419274,"threshold_uncertainty_score":0.008231521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581767583988989,"score_gpt":0.2630369699557777,"score_spread":0.2472192941158878,"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."}}