{"id":"W4404332315","doi":"10.1016/j.ekir.2024.11.006","title":"Identification and Prioritization of Canadian Society of Nephrology Clinical Practice Guideline Topics","year":2024,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Nova Scotia Health Authority; Dalhousie University; Kidney Foundation of Canada; Ottawa Hospital; University of Manitoba; University of Ottawa; Libin Cardiovascular Institute of Alberta; Impact; University of Calgary","funders":"Kidney Foundation of Canada; Canadian Institutes of Health Research; Canadian Society of Nephrology; University of Calgary","keywords":"Medicine; Guideline; Prioritization; Identification (biology); Clinical Practice; Internal medicine; Nephrology; Intensive care medicine; Medical physics; Family medicine; Pathology; Management science; Engineering","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":[0.06391518,0.0007245168,0.0007772786,0.005410876,0.005854866,0.00478668,0.00247058,0.002042192,0.006155917],"category_scores_gemma":[0.09455093,0.0005698079,0.0009804388,0.005982442,0.003272542,0.00262423,0.006129665,0.002100162,0.0005749297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03150872,"about_ca_system_score_gemma":0.1693949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4106303,"about_ca_topic_score_gemma":0.5301979,"domain_scores_codex":[0.9187812,0.04042599,0.007111391,0.003637568,0.02143879,0.008605087],"domain_scores_gemma":[0.9146571,0.0234902,0.004323981,0.001405145,0.04717134,0.008952241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000507381,0.0003817711,0.1382775,0.01371231,0.0002629972,0.001538319,0.2396178,0.00166653,0.007362131,0.02592818,0.1199709,0.4507741],"study_design_scores_gemma":[0.0002807429,0.0006345379,0.2161791,0.01617069,0.0002365077,0.00122415,0.2739339,0.004251165,0.003573196,0.01883436,0.46411,0.0005716486],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5832578,0.01542092,0.03952631,0.1290148,0.002084807,0.02630882,0.005119044,0.0003803251,0.1988872],"genre_scores_gemma":[0.8818002,0.005738385,0.08843213,0.00981904,0.0001863457,0.007619558,0.001279614,0.00008262128,0.005042004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5893698,"threshold_uncertainty_score":0.8164803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032373568393845,"score_gpt":0.4878273284256345,"score_spread":0.38458997158625,"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."}}