{"id":"W4230101726","doi":"10.2196/28013","title":"System for Context-Specific Visualization of Clinical Practice Guidelines (GuLiNav): Concept and Software Implementation","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Guideline; Visualization; Computer science; Context (archaeology); Usability; Software engineering; Data science; Human–computer interaction; Data mining; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006080827,0.001199889,0.0006881731,0.002369422,0.0005324551,0.003480084,0.002349376,0.001237297,0.01093574],"category_scores_gemma":[0.01391971,0.0009359025,0.001033323,0.001169687,0.000791639,0.002446466,0.003101954,0.001632459,0.002566437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148329,"about_ca_system_score_gemma":0.001975159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004081866,"about_ca_topic_score_gemma":0.002981238,"domain_scores_codex":[0.9980482,0.0008522046,0.0002651318,0.0003618914,0.0003871277,0.00008546597],"domain_scores_gemma":[0.9952749,0.002521265,0.0003009841,0.0009661426,0.0006321403,0.0003045572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001849117,0.0007368578,0.009958876,0.002922874,0.0004306526,0.001320186,0.005709528,0.01358266,0.03787245,0.03877945,0.05722292,0.8296145],"study_design_scores_gemma":[0.001966826,0.001639395,0.0152876,0.003302973,0.0006429651,0.003640725,0.001379479,0.436491,0.08189885,0.05232759,0.400693,0.0007296627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01241151,0.0004911791,0.8587161,0.0007745869,0.000160687,0.001589128,0.002769273,0.1195382,0.003549373],"genre_scores_gemma":[0.04790507,0.0004273873,0.9419962,0.0002136544,0.00003356261,0.001582564,0.003293417,0.002385947,0.002162206],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01093574,"threshold_uncertainty_score":0.03658372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4153048642245767,"score_gpt":0.6889516424585047,"score_spread":0.273646778233928,"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."}}