{"id":"W1825959266","doi":"10.1287/msom.2015.0552","title":"Optimal Vascular Access Choice for Patients on Hemodialysis","year":2015,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Central Venous Catheters and Hemodialysis","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hemodialysis; Arteriovenous fistula; Medicine; Vascular access; Life expectancy; Gold standard (test); Central venous catheter; Fistula; Quality (philosophy); Hemodialysis access; Surgery; Catheter; Intensive care medicine; Computer science; Operations management; Radiology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004623821,0.0002809571,0.0003388216,0.000248569,0.0011985,0.0001509064,0.0005554658,0.0001131652,0.0002615869],"category_scores_gemma":[0.00003802122,0.0002528719,0.0001774956,0.0002366264,0.00001234379,0.0003565343,0.0003809946,0.0002264177,0.0005195825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004609358,"about_ca_system_score_gemma":0.00005772536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009901875,"about_ca_topic_score_gemma":0.001201559,"domain_scores_codex":[0.9976869,0.0001540711,0.0005197077,0.0005487202,0.0004479757,0.0006426829],"domain_scores_gemma":[0.9985063,0.0001159063,0.0001121646,0.0007049165,0.0003029492,0.0002577356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005857341,0.003866382,0.0189203,0.002071032,0.002060398,0.000009840246,0.01414565,0.8771957,0.00001941169,0.004359564,0.04469061,0.03207539],"study_design_scores_gemma":[0.0165913,0.0006745486,0.1458895,0.0003935196,0.001763438,1.828321e-7,0.005032691,0.0455745,0.001238473,0.0004025722,0.7806645,0.001774809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790969,0.00001882303,0.006679441,0.00223427,0.0008277035,0.003315212,0.00006307748,0.0001728003,0.007591763],"genre_scores_gemma":[0.976847,0.00005199289,0.006665821,0.008675546,0.0005656039,0.001913647,0.0008220971,0.00008566258,0.004372638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8316212,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06090853128293817,"score_gpt":0.357499486694588,"score_spread":0.2965909554116498,"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."}}