{"id":"W2945984874","doi":"10.2196/13627","title":"Descriptive Usability Study of CirrODS: Clinical Decision and Workflow Support Tool for Management of Patients With Cirrhosis","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Services Research and Development","keywords":"Usability; Workflow; Medicine; Clinical decision support system; Cirrhosis; Decision support system; Computer science; Health information technology; Health care; Medical emergency; Human–computer interaction; Database; Data mining; Internal 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":[0.03101805,0.0006070872,0.0008464741,0.00196061,0.001790042,0.002538626,0.001036961,0.0008574075,0.001797406],"category_scores_gemma":[0.07934185,0.0007005308,0.0009116026,0.001364843,0.001957879,0.00209742,0.002373293,0.001051961,0.0002676489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002461484,"about_ca_system_score_gemma":0.003213868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741436,"about_ca_topic_score_gemma":0.002946404,"domain_scores_codex":[0.9827071,0.01223562,0.001776442,0.000775575,0.001521569,0.0009837679],"domain_scores_gemma":[0.9177206,0.06199528,0.005470315,0.002755799,0.01017707,0.001880765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001991914,0.006235053,0.1873059,0.004811953,0.0001827197,0.002435341,0.6344783,0.0008824656,0.004745414,0.0007717874,0.003866682,0.1522925],"study_design_scores_gemma":[0.001043722,0.02821352,0.2677853,0.002309438,0.0002921955,0.002506802,0.658167,0.004941252,0.005706347,0.0009675105,0.02757956,0.0004873161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959842,0.0001473881,0.001734671,0.0001634996,0.00001949299,0.001002941,0.0001074507,0.00003034869,0.0008101545],"genre_scores_gemma":[0.9857113,0.0002836419,0.01002829,0.0004061754,0.00003001242,0.002830254,0.0001585632,0.00003875067,0.0005132018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03101805,"threshold_uncertainty_score":0.1640411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05494402495097796,"score_gpt":0.4489040829161133,"score_spread":0.3939600579651353,"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."}}