{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002317681,0.0001120248,0.000407382,0.0006436839,0.00003843412,0.000006075274,0.00006673946,0.00007933557,0.00006681403],"category_scores_gemma":[0.0002140204,0.00007490205,0.0001048275,0.0007841393,0.00007493113,0.00008114032,0.00005219638,0.00006735204,0.00001227181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640283,"about_ca_system_score_gemma":0.00003803573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007250671,"about_ca_topic_score_gemma":0.000004859223,"domain_scores_codex":[0.9989134,0.00001308014,0.0003383481,0.0002537822,0.0002491302,0.0002322612],"domain_scores_gemma":[0.9992943,0.00001816518,0.0002515622,0.0001272547,0.0002186736,0.00009007438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000391725,0.0009354338,0.9539304,0.0002580192,0.0001957558,0.000004868592,0.0001510728,0.000002774134,0.009765136,0.0004648507,0.0007117109,0.03318823],"study_design_scores_gemma":[0.008998205,0.001007067,0.9816111,0.001329947,0.0004430907,0.000001672874,0.0002705044,0.000273499,0.003628367,0.001199151,0.0009750762,0.0002623209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975277,0.0001003857,0.0001865195,0.001539735,0.00006968731,0.0002976023,0.00001939529,0.00004309908,0.0002159074],"genre_scores_gemma":[0.9991767,0.0001294802,0.0004194902,0.0001549997,0.00003734808,0.000009238304,0.000008904538,0.00001431899,0.00004950025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03292591,"threshold_uncertainty_score":0.3054417,"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."}}