{"id":"W4317208389","doi":"10.1177/20543581221149621","title":"Population-Based Analysis of Nonsteroidal Anti-inflammatory Drug Prescription in Subjects With Chronic Kidney Disease","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Inflammatory mediators and NSAID effects","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Health; University of Calgary; Alberta Health Services","funders":"Government of Alberta; Alberta Health Services","keywords":"Medicine; Kidney disease; Medical prescription; Internal medicine; Population; Renal function; Dialysis; Hyperkalemia; Cohort; Retrospective cohort study; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007617101,0.0002784145,0.0003840833,0.001384104,0.0006446704,0.0008449543,0.0006414143,0.0005722424,0.001132196],"category_scores_gemma":[0.001959414,0.000295993,0.0006667135,0.002801858,0.0003288387,0.0002911429,0.0004782166,0.0005557455,0.0002060931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932449,"about_ca_system_score_gemma":0.001972625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3869148,"about_ca_topic_score_gemma":0.3752439,"domain_scores_codex":[0.9993311,0.0001075891,0.00005551939,0.0001491582,0.0002263531,0.0001303322],"domain_scores_gemma":[0.9985371,0.0001455437,0.0005328479,0.0001302936,0.0003553229,0.0002989562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004720685,0.0000123776,0.9994492,0.000003727507,0.00003902873,0.00002120677,0.00002785523,0.00003373464,0.0000571296,0.000005525878,0.00007045965,0.0002325671],"study_design_scores_gemma":[0.000003605774,0.00002352789,0.999674,0.000001960857,0.0000141761,0.00003293287,0.00006427032,0.0001052715,0.000009099004,0.000003583176,0.00006611266,0.000001483765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976999,0.0001618631,0.00006497867,0.0000369756,0.00000531919,0.00001981707,0.001637283,0.000006523414,0.0003673028],"genre_scores_gemma":[0.9983597,0.00006965287,0.00007333764,0.00002030061,0.00000542656,0.00001294657,0.001305736,0.000001495835,0.0001512649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3869148,"threshold_uncertainty_score":0.7693255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007787462240102786,"score_gpt":0.2475575710580194,"score_spread":0.2397701088179166,"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."}}