{"id":"W4385071491","doi":"10.2196/47718","title":"Developing an Audit and Feedback Dashboard for Family Physicians: User-Centered Design Process","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Persona Design and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; St. Michael's Hospital; University of Toronto; Women's College Hospital","funders":"","keywords":"Persona; Dashboard; Context (archaeology); Audit; Quality (philosophy); Computer science; Quality management; Process management; Best practice; Knowledge management; Medicine; Human–computer interaction; Service (business); Engineering; Data science; Business; Marketing; Management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259417,0.0001703639,0.000161192,0.0001336712,0.0004049804,0.0002678913,0.0006727758,0.00005715323,0.000001614368],"category_scores_gemma":[0.000009353923,0.0001630738,0.00004304776,0.0004900434,0.00004734657,0.0005884473,0.00008656772,0.0000722633,0.00002636715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004441139,"about_ca_system_score_gemma":0.00006597334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004872252,"about_ca_topic_score_gemma":0.00000564267,"domain_scores_codex":[0.9988056,0.00003359796,0.0001633594,0.0004769896,0.0001838574,0.0003365918],"domain_scores_gemma":[0.9993417,0.00007707052,0.00008131455,0.0003330163,0.00007621691,0.00009072571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008768552,0.001170453,0.0159671,0.001084586,0.0003580888,0.00002537477,0.09032617,0.0004728513,0.4161524,0.2498567,0.1049412,0.1195573],"study_design_scores_gemma":[0.004112453,0.001071613,0.7592764,0.0005125336,0.00005245776,0.000005980061,0.006722162,0.06791962,0.0424834,0.06070016,0.0537524,0.003390814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6727029,0.000008118279,0.3256923,0.0002898232,0.00006124455,0.0006900476,0.00001329989,0.0004898325,0.00005239135],"genre_scores_gemma":[0.987024,0.000005325206,0.01169152,0.0003614176,0.00007278735,0.0004315362,0.00004390374,0.00002375532,0.0003457553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7433093,"threshold_uncertainty_score":0.6649956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341298200682143,"score_gpt":0.355413287475733,"score_spread":0.2212834674075187,"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."}}