{"id":"W2156895027","doi":"10.1177/154193120304701231","title":"A Work Domain Analysis for Diabetes Management","year":2003,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Domain (mathematical analysis); Computer science; Work (physics); Resource (disambiguation); Knowledge management; Human–computer interaction; Interface (matter); Process management; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0008132267,0.0001701482,0.0003108829,0.00006587786,0.0004709204,0.0002028009,0.0004772137,0.00006756895,0.000001405636],"category_scores_gemma":[0.0000414696,0.0001336941,0.0004440495,0.0005133517,0.00007360732,0.0003951086,0.0002651852,0.00009421647,3.153277e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005988785,"about_ca_system_score_gemma":0.000008400998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007486606,"about_ca_topic_score_gemma":0.00000268931,"domain_scores_codex":[0.9988959,0.00001296539,0.0003115229,0.000363138,0.0001366631,0.0002798431],"domain_scores_gemma":[0.9991633,0.0001313558,0.0003555811,0.0001333571,0.0001562761,0.00006010101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001157666,0.0001278913,0.9209378,0.000424957,0.002252081,4.499962e-8,0.02474981,0.00004980902,0.002522539,0.04544087,0.001970213,0.001512412],"study_design_scores_gemma":[0.005042255,0.0004909881,0.7225867,0.001322353,0.002614732,0.000004103005,0.09924588,0.005710985,0.06689548,0.05725382,0.03496603,0.00386666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956034,0.00005581623,0.002972829,0.00008994735,0.0001063751,0.0003111312,0.00001157536,0.00004564949,0.0008032146],"genre_scores_gemma":[0.9889125,0.000007738144,0.01080381,0.00007645954,0.00002703827,0.00003453528,0.000001022537,0.00001077584,0.0001261815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1983511,"threshold_uncertainty_score":0.5451888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835330489285493,"score_gpt":0.2246091460808625,"score_spread":0.2062558411880075,"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."}}