{"id":"W4210818823","doi":"10.1053/j.ajkd.2021.10.008","title":"Dialysis Modality Decisions: Choosing Wisely!","year":2022,"lang":"en","type":"letter","venue":"American Journal of Kidney Diseases","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Azrieli Foundation; Mt. Sinai Health Care Foundation; Medtronic","keywords":"Medicine; Modality (human–computer interaction); Intensive care medicine; Dialysis; MEDLINE; Internal medicine; 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":[0.007212123,0.0008672523,0.00189041,0.001520875,0.0101812,0.01058399,0.002126229,0.07849953,0.01746419],"category_scores_gemma":[0.04402297,0.001154019,0.001517189,0.00129716,0.005772355,0.01093405,0.004332627,0.0774571,0.01039999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006970212,"about_ca_system_score_gemma":0.01520182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01127972,"about_ca_topic_score_gemma":0.02694777,"domain_scores_codex":[0.9921454,0.002976383,0.0008322307,0.0007000867,0.001964885,0.001380974],"domain_scores_gemma":[0.9743212,0.008193975,0.001562155,0.0005226062,0.004420421,0.01097969],"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":[0.00002742342,0.00006179976,0.001237878,0.00003040236,0.00001656738,0.001317355,0.0002127478,0.00006704635,0.0000769158,0.003538571,0.9840338,0.009379302],"study_design_scores_gemma":[0.0001465935,0.00005933637,0.002052501,0.0007470836,0.00005124416,0.004865162,0.002142699,0.0008907499,0.0001204623,0.03321747,0.9555492,0.0001575239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001532858,0.0004173158,0.00008249821,0.9925804,0.004221571,0.000004517721,0.00001054855,0.000009315862,0.002520596],"genre_scores_gemma":[0.002845131,0.0008304836,0.0004496806,0.9636968,0.02592543,0.00002566941,0.00001781229,0.00002408986,0.006184846],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07849953,"threshold_uncertainty_score":0.05842352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589118742015442,"score_gpt":0.2777434795252435,"score_spread":0.2618522921050891,"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."}}