{"id":"W2550205515","doi":"10.1111/hdi.12513","title":"Vascular imaging for hemodialysis vascular access planning","year":2016,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Central Venous Catheters and Hemodialysis","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Medicine; Hemodialysis; Hazard ratio; Confidence interval; Arteriovenous fistula; Retrospective cohort study; Odds ratio; Logistic regression; Vascular surgery; Proportional hazards model; Venography; Surgery; Radiology; Internal medicine; Cardiology; Thrombosis; Cardiac surgery","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":[0.00124636,0.0004522344,0.0003164028,0.001239189,0.0004395533,0.001660081,0.000764747,0.0006583563,0.02955782],"category_scores_gemma":[0.008260883,0.0002340474,0.0003508411,0.0008656885,0.000732181,0.001306146,0.000995048,0.001635794,0.005758106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009156695,"about_ca_system_score_gemma":0.002473514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002595617,"about_ca_topic_score_gemma":0.002131222,"domain_scores_codex":[0.9995396,0.0001966001,0.00003778225,0.00006678439,0.0001251851,0.00003404013],"domain_scores_gemma":[0.9968166,0.001467076,0.0005199834,0.0002689736,0.0006175533,0.0003098768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003735984,0.0001476008,0.08471659,0.0009502858,0.00007128842,0.003268219,0.0002843023,0.005121269,0.0020598,0.01821484,0.1001271,0.7846651],"study_design_scores_gemma":[0.0002094151,0.0006317236,0.1339752,0.007392873,0.0002729346,0.08459212,0.0009387937,0.02768877,0.00630312,0.09779958,0.6399787,0.000216795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1267175,0.1302822,0.3155267,0.06808363,0.004958562,0.0009770121,0.007676701,0.004950555,0.3408271],"genre_scores_gemma":[0.783698,0.05204219,0.1326308,0.004618555,0.004095635,0.0004056063,0.003085823,0.0005260931,0.0188973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02955782,"threshold_uncertainty_score":0.09888077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05091331928870242,"score_gpt":0.3847513466309739,"score_spread":0.3338380273422715,"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."}}