{"id":"W2276625880","doi":"10.1186/s40697-016-0103-z","title":"Acute Kidney Injury in the Era of Big Data: The 15 <sup>th</sup> Consensus Conference of the Acute Dialysis Quality Initiative (ADQI)","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Acute kidney injury; Consensus conference; Intensive care medicine; Dialysis; Kidney disease; Emergency medicine; Nephrology; Medical emergency; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.06321126,0.001669118,0.002419297,0.004998327,0.005612586,0.01954778,0.00560797,0.01410363,0.006306755],"category_scores_gemma":[0.07841627,0.0009978304,0.001988611,0.007924645,0.01099041,0.01059395,0.01079122,0.02508672,0.003832647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01593294,"about_ca_system_score_gemma":0.06789716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04428159,"about_ca_topic_score_gemma":0.1001694,"domain_scores_codex":[0.9561973,0.01355482,0.006029424,0.002380606,0.0193957,0.002442258],"domain_scores_gemma":[0.886262,0.03123187,0.007313944,0.002094467,0.04936337,0.02373431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005617374,0.00001962375,0.0008230846,0.001145092,0.00004981533,0.00008354989,0.0006765784,0.00009172031,0.0000810454,0.004998644,0.9297017,0.06227285],"study_design_scores_gemma":[0.00002390292,0.00002786203,0.002606785,0.004081771,0.00005014764,0.0001409463,0.001820735,0.00008996118,0.0001064035,0.006673207,0.9843109,0.00006722801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002807588,0.1065078,0.001183582,0.8189122,0.07006938,0.00007117193,0.0003190102,0.00006158489,0.002594529],"genre_scores_gemma":[0.01232107,0.3347665,0.009300182,0.4487397,0.1837152,0.0004934896,0.002259639,0.0003248205,0.008079357],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.06321126,"threshold_uncertainty_score":0.3342971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109025860734157,"score_gpt":0.374192938681616,"score_spread":0.265167077947459,"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."}}