{"id":"W2114220157","doi":"10.1681/asn.2006030190","title":"Risk Equation Determining Unsuccessful Cannulation Events and Failure to Maturation in Arteriovenous Fistulas (REDUCE FTM I)","year":2006,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Central Venous Catheters and Hemodialysis","field":"Health Professions","cited_by":486,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; University Health Network; University of Toronto; Toronto General Hospital; Western University; University of Ottawa","funders":"","keywords":"Medicine; Arteriovenous fistula; Confidence interval; Fistula; Logistic regression; Hemodialysis; Odds ratio; Dialysis; Stepwise regression; Clinical prediction rule; Internal medicine; Surgery; Predictive value of tests; Prospective cohort study; Coronary artery disease","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":[],"consensus_categories":[],"category_scores_codex":[0.0005322743,0.00009457814,0.0003727521,0.0000713128,0.0002354618,0.000004913598,0.0001345329,0.00007781549,0.00001106941],"category_scores_gemma":[0.00004600669,0.00007121837,0.000162336,0.0002800828,0.0000914771,0.00009701872,0.00005166813,0.0003536936,0.000001496416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835961,"about_ca_system_score_gemma":0.0001172724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732548,"about_ca_topic_score_gemma":0.001175533,"domain_scores_codex":[0.9984441,0.000400121,0.0006214537,0.0001117264,0.000185377,0.0002371536],"domain_scores_gemma":[0.997884,0.0002020052,0.001604582,0.0001252831,0.0001363425,0.00004776263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001074444,0.0002989911,0.7896453,0.00009687802,0.0002007253,0.000003642104,0.02623795,0.007054365,0.1332743,0.00004052857,0.01654949,0.02552344],"study_design_scores_gemma":[0.0005620432,0.0002670347,0.9926549,0.00005539006,0.00006870332,0.00001215054,0.002305497,0.001680896,0.00006565315,0.0005259381,0.001734138,0.00006761034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915871,0.00004047233,0.001735948,0.006273239,0.0001120989,0.0002230686,0.000008913638,0.000003976799,0.00001519912],"genre_scores_gemma":[0.9946205,0.00007749789,0.003126321,0.00185701,0.0002705655,0.000004984895,0.000002661918,0.000009926125,0.00003055783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2030097,"threshold_uncertainty_score":0.2904201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203872557396935,"score_gpt":0.323129580990706,"score_spread":0.3027423252510125,"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."}}