{"id":"W4366263393","doi":"10.1016/j.artmed.2023.102550","title":"Using graph rewriting to operationalize medical knowledge for the revision of concurrently applied clinical practice guidelines","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence in Medicine","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Operationalization; Rewriting; Computer science; Graph; Data science; Knowledge graph; Information retrieval; Programming language; Theoretical computer science; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02189004,0.0001937702,0.0006652921,0.0003131384,0.0001482125,0.00001668806,0.0003067269,0.0001715111,0.0003139006],"category_scores_gemma":[0.2710897,0.0001333701,0.0001385479,0.001773103,0.0003745082,0.0001422704,0.0001534411,0.0004695145,0.00007541185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006105627,"about_ca_system_score_gemma":0.0005448552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004340281,"about_ca_topic_score_gemma":0.0002935103,"domain_scores_codex":[0.9931217,0.0002671472,0.004710335,0.000509076,0.001038006,0.00035377],"domain_scores_gemma":[0.9715942,0.02436385,0.0005910037,0.0004810184,0.002692967,0.0002769568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001096091,0.0003025641,0.0005789191,0.0001371327,0.00007577837,0.00002025823,0.001007653,0.001072163,0.0018379,0.02017457,0.02149254,0.9522044],"study_design_scores_gemma":[0.002431489,0.002393202,0.001428683,0.004488473,0.001143276,0.0001281931,0.05702512,0.5997957,0.003813262,0.011504,0.3152381,0.0006105123],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06298698,0.001391272,0.6441134,0.282732,0.003262379,0.00457508,0.0000227502,0.0001342802,0.0007818025],"genre_scores_gemma":[0.87609,0.002691773,0.08982793,0.024797,0.006126871,0.0001315373,0.0001998572,0.00007546505,0.00005957002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9515939,"threshold_uncertainty_score":0.7586695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7570480832277316,"score_gpt":0.6807892553561179,"score_spread":0.07625882787161375,"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."}}