{"id":"W2524442850","doi":"10.1177/2054358116669125","title":"Arteriovenous Vascular Access Selection and Evaluation","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Central Venous Catheters and Hemodialysis","field":"Health Professions","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Providence Health Care; University of British Columbia; University of Saskatchewan; Western University; University of Toronto; Health Sciences Centre; University Health Network; Dalhousie University; University of Ottawa; Sunnybrook Health Science Centre; University of Calgary","funders":"Canadian Society of Nephrology","keywords":"Medicine; Vascular access; Selection (genetic algorithm); Intensive care medicine; Internal medicine; Hemodialysis; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008605066,0.00008617402,0.0002088129,0.0002116391,0.0007089447,0.00002651887,0.00006556384,0.00005162225,0.0003727805],"category_scores_gemma":[0.004850463,0.00005948978,0.00005694173,0.00009619007,0.00003943449,0.0002305398,0.000008832793,0.0001345103,0.0000063946],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003887977,"about_ca_system_score_gemma":0.05158893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327653,"about_ca_topic_score_gemma":0.004272327,"domain_scores_codex":[0.9986007,0.0003105716,0.0003746542,0.0001279374,0.0001685625,0.0004176017],"domain_scores_gemma":[0.9750414,0.00005538019,0.0002596776,0.00008641039,0.0002478459,0.02430921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002574465,0.00005485615,0.5391659,0.0006242754,0.0000873398,0.00002935354,0.003796045,0.000003307933,0.00005190727,0.0004854588,0.2802788,0.1751653],"study_design_scores_gemma":[0.00830441,0.0008640277,0.2974084,0.002244488,0.0004834445,0.00004832565,0.001035586,0.0005986949,0.000003764983,0.01061426,0.6779094,0.0004851944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8405843,0.007092351,0.0007665852,0.1496145,0.0007665952,0.0007730403,0.000151006,0.000009948588,0.0002416944],"genre_scores_gemma":[0.9566899,0.001365415,0.00004883494,0.0413973,0.0003899457,0.00001266161,0.000009288795,0.00001322241,0.0000734284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3976306,"threshold_uncertainty_score":0.9537877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04455528051139006,"score_gpt":0.3708961822725126,"score_spread":0.3263409017611226,"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."}}