{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002765721,0.0007953001,0.0004704301,0.005902059,0.001861519,0.004084061,0.0009395571,0.0008159738,0.006301796],"category_scores_gemma":[0.00830516,0.0002588254,0.001238422,0.004142398,0.001006588,0.003355223,0.001893535,0.0009408054,0.001408086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002463841,"about_ca_system_score_gemma":0.003119869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00984326,"about_ca_topic_score_gemma":0.004599709,"domain_scores_codex":[0.9971231,0.00116632,0.0002124383,0.0003977956,0.0008979166,0.0002024794],"domain_scores_gemma":[0.9965108,0.001601638,0.0002789189,0.000337183,0.0011157,0.0001556905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005686287,0.0006626675,0.02914167,0.001120336,0.0001518519,0.0005499829,0.006786883,0.02660134,0.00909402,0.1556963,0.01507131,0.754555],"study_design_scores_gemma":[0.000168317,0.0005806519,0.03735468,0.001122931,0.0002345267,0.001054629,0.02444457,0.5216144,0.01318236,0.2309368,0.1690732,0.0002328768],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1084286,0.002086008,0.8312709,0.003755012,0.0002690219,0.001515821,0.002319747,0.002156862,0.04819804],"genre_scores_gemma":[0.4394456,0.0008823627,0.5500676,0.000251932,0.0000649571,0.0008271615,0.002523929,0.000125646,0.00581076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00984326,"threshold_uncertainty_score":0.02108157,"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."}}