{"id":"W2470360559","doi":"10.3233/978-1-61499-658-3-339","title":"Educational Requirements for Mobile Applications in Nursing: Applying the User-Task-Context Matrix to Identify User Classes and Contexts of Use","year":2016,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Brainstorming; Task (project management); Computer science; Context (archaeology); User requirements document; Mobile device; Health care; Procurement; Human–computer interaction; Multimedia; World Wide Web; Software engineering; Artificial intelligence; 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":[0.004497346,0.0008642083,0.0003971664,0.003216467,0.001472079,0.002631012,0.0007345515,0.001043608,0.002496671],"category_scores_gemma":[0.02171409,0.0005739609,0.001004384,0.00108518,0.0009542266,0.003527345,0.001849768,0.001081263,0.0006027036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002393848,"about_ca_system_score_gemma":0.002402282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009370459,"about_ca_topic_score_gemma":0.01409068,"domain_scores_codex":[0.9946432,0.002712552,0.0005530046,0.0004075826,0.00142272,0.0002608579],"domain_scores_gemma":[0.9763287,0.01746294,0.001376648,0.0009233882,0.003362136,0.0005463381],"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":[0.001277758,0.001207479,0.1657138,0.003285103,0.0002725778,0.002831467,0.1122167,0.06393426,0.06544001,0.09687907,0.008489647,0.4784522],"study_design_scores_gemma":[0.0001117977,0.0013738,0.1021638,0.001427232,0.0002718818,0.003414488,0.0705314,0.6496378,0.02849211,0.06534499,0.07669875,0.0005320004],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3810541,0.0003310858,0.5941877,0.001356025,0.00003792663,0.001725417,0.001129615,0.0007993491,0.01937876],"genre_scores_gemma":[0.7096106,0.0001565906,0.2868994,0.00008355133,0.000008784479,0.001042016,0.0006215113,0.00008764242,0.001489906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009370459,"threshold_uncertainty_score":0.02378452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06483303621174594,"score_gpt":0.4079138974844445,"score_spread":0.3430808612726985,"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."}}