{"id":"W2982468104","doi":"10.1016/j.xkme.2019.10.001","title":"Home Hemodialysis: Bending the Utilization Curve With Novel Strategies","year":2019,"lang":"en","type":"letter","venue":"Kidney Medicine","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; Population; Isolation (microbiology); Family medicine; Medical emergency; Nursing; Gerontology; Health care; Environmental health; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[],"category_scores_codex":[0.0005576552,0.0005563332,0.001121596,0.0004630217,0.0001343014,0.00008531714,0.0003481909,0.0003556393,0.001054371],"category_scores_gemma":[0.0002619978,0.00026102,0.0002417973,0.0006985714,0.0003450614,0.0001154927,0.00009241843,0.001106072,0.00009597055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247154,"about_ca_system_score_gemma":0.0005192513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001295142,"about_ca_topic_score_gemma":0.000006208486,"domain_scores_codex":[0.9966819,0.0001077197,0.0005531003,0.0006794666,0.001474952,0.0005028179],"domain_scores_gemma":[0.9978676,0.0001881486,0.000392466,0.001081771,0.000238067,0.0002319508],"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":[0.00009954256,0.00007174602,0.0002489192,0.001243807,0.001302571,0.0002320846,0.0003396098,0.00002915831,0.0001017454,0.0003754653,0.9953184,0.0006370193],"study_design_scores_gemma":[0.003045371,0.0004252866,0.001603163,0.002738877,0.005543298,0.00003755289,0.0007341417,0.0004642658,0.00001150987,0.00008361876,0.9849558,0.0003570872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002468842,0.001070436,0.004184327,0.9494697,0.001065556,0.001335268,0.0001124292,0.0001254665,0.04238996],"genre_scores_gemma":[0.01901103,0.0005077735,0.0001226209,0.9435726,0.01107784,0.0001049723,0.006965315,0.0001413863,0.0184965],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02389346,"threshold_uncertainty_score":0.9999842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135643924943106,"score_gpt":0.2858496431668381,"score_spread":0.2444932039174071,"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."}}