{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001251034,0.000389532,0.0006984157,0.002986988,0.0007971366,0.001089596,0.0005747479,0.0006048988,0.006110044],"category_scores_gemma":[0.005572474,0.0001767989,0.0003436882,0.0009970545,0.0004066979,0.0008459835,0.0004659749,0.0008010135,0.001525517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000700003,"about_ca_system_score_gemma":0.001696709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00401241,"about_ca_topic_score_gemma":0.005235314,"domain_scores_codex":[0.9991405,0.0002015341,0.0001155613,0.00006078753,0.0003704992,0.0001110503],"domain_scores_gemma":[0.998512,0.0003417922,0.0001440943,0.00004696392,0.0007120852,0.0002430957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004856909,0.000332732,0.4975595,0.0004572737,0.0000528871,0.06236314,0.0006470405,0.002002849,0.003657202,0.003076456,0.03398126,0.3953839],"study_design_scores_gemma":[0.00008388275,0.0008533497,0.5594286,0.003694534,0.0001479319,0.3097348,0.003251683,0.009657333,0.00712515,0.009953342,0.09590359,0.0001657067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5944558,0.04825057,0.0624516,0.01353869,0.001621108,0.002624184,0.002594744,0.000865241,0.2735981],"genre_scores_gemma":[0.887167,0.03670239,0.04598196,0.002050331,0.001565546,0.0007390932,0.002132421,0.000179107,0.02348226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006110044,"threshold_uncertainty_score":0.0204401,"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."}}