{"id":"W2099171143","doi":"10.1046/j.1492-7535.2003.01256.x","title":"On-line Monitoring of Nocturnal Home Hemodialysis","year":2003,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Hemodialysis; Home hemodialysis; Nocturnal; Intensive care medicine; Emergency medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008339091,0.0002256277,0.0002057138,0.0003681743,0.0001563081,0.000419865,0.0003401481,0.0002676741,0.001208362],"category_scores_gemma":[0.002940181,0.00004636497,0.0001377957,0.0001876279,0.0001322807,0.0002260146,0.0002769661,0.0001932764,0.0002039327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002195708,"about_ca_system_score_gemma":0.0001917859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006082466,"about_ca_topic_score_gemma":0.0006179408,"domain_scores_codex":[0.9990575,0.0004201858,0.00006343954,0.0001029641,0.0003056045,0.00005024304],"domain_scores_gemma":[0.9983587,0.0005516876,0.0004532072,0.0001186174,0.0003481705,0.000169695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001411284,0.0004415713,0.4545928,0.0007810231,0.0000932305,0.001678352,0.0009888638,0.0008367268,0.01783255,0.0002886171,0.003354114,0.5177009],"study_design_scores_gemma":[0.00009942521,0.003548283,0.9059767,0.000378497,0.0002238339,0.01595705,0.0007101441,0.007628228,0.0314044,0.0005012827,0.03352351,0.00004874659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568487,0.00539142,0.01685142,0.0003736448,0.0001979549,0.0001730124,0.0005221031,0.0002204254,0.01942133],"genre_scores_gemma":[0.9945707,0.0007834939,0.003128091,0.0001342511,0.0001059035,0.00003230536,0.0003059921,0.00001312579,0.0009262565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001208362,"threshold_uncertainty_score":0.004410207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697319097862712,"score_gpt":0.2771620314703783,"score_spread":0.2501888404917512,"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."}}