{"id":"W2483871925","doi":"10.4018/978-1-59904-792-8.ch019","title":"Knowledge Translation in Nursing Through Decision Support at the Point of Care","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Usability; Clinical decision support system; Knowledge translation; Knowledge management; Intervention (counseling); Nursing; Decision support system; Health care; Quality (philosophy); Point of care; Context (archaeology); Psychology; Medicine; Computer science; Human–computer interaction","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001081247,0.000367734,0.0004865103,0.00008973679,0.0001795688,0.00003485779,0.0002045932,0.0003878235,0.00007990855],"category_scores_gemma":[0.00001866867,0.0003144126,0.0002909474,0.0000421378,0.0002460197,0.0001048297,0.00002728737,0.0002388104,0.00007945331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411066,"about_ca_system_score_gemma":0.00008444631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001071408,"about_ca_topic_score_gemma":0.0008327451,"domain_scores_codex":[0.9980674,0.00005013535,0.0006837367,0.0004523863,0.0004537482,0.0002925946],"domain_scores_gemma":[0.998843,0.0002174125,0.0003167973,0.0004306622,0.0001373312,0.0000547702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001432625,0.0001202182,0.0001890466,0.0001561552,0.00004132804,0.00002971984,0.03704416,0.00006113503,0.0001331939,0.1280143,0.03934104,0.7934371],"study_design_scores_gemma":[0.00812474,0.002761026,0.002869385,0.01981443,0.001049254,0.0003674308,0.002792299,0.00008582674,0.01373429,0.6918207,0.2541217,0.002458945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004719829,0.005934847,0.00008690536,0.0002454298,0.001825686,0.0007808119,0.0001048212,0.00005087928,0.9862508],"genre_scores_gemma":[0.9927786,0.00008361053,0.001119651,0.0002776095,0.0003054673,0.00002240214,0.0001025114,0.0001001922,0.005209976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9880587,"threshold_uncertainty_score":0.9999308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435263790185127,"score_gpt":0.3360101657117153,"score_spread":0.301657527809864,"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."}}