{"id":"W2897480913","doi":"10.1097/01.nep.0000000000000092","title":"Informatics Competencies for Nurses Revisited","year":2016,"lang":"en","type":"article","venue":"Nursing Education Perspectives","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Informatics; Health informatics; MEDLINE; Medical education; Nursing; Medicine; Psychology; Engineering; Political science; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000375829,0.0001322678,0.0002031973,0.0001861969,0.001074524,0.000009815706,0.0001480312,0.0001243772,0.0003901564],"category_scores_gemma":[0.0007259397,0.0000956657,0.00005700252,0.0002402312,0.0001646435,0.0002190018,0.00000881049,0.0001520967,0.000236148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007953389,"about_ca_system_score_gemma":0.001966122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002240988,"about_ca_topic_score_gemma":0.000007580604,"domain_scores_codex":[0.9984698,0.0001237574,0.0005731051,0.0002139941,0.0001408391,0.0004785033],"domain_scores_gemma":[0.9974197,0.0008059054,0.0003418611,0.0003877446,0.0008009914,0.0002437881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007693854,0.0007102446,0.002329468,0.00037565,0.000009943305,1.096297e-8,0.03736976,2.629527e-7,0.0005032044,0.4508056,0.2812088,0.22661],"study_design_scores_gemma":[0.000828107,0.00009618104,0.02376057,0.001339902,0.00002745756,0.000002345828,0.1191567,0.00002720164,0.00006545127,0.0144281,0.8400862,0.0001817643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2167832,0.007218574,0.1463348,0.1789818,0.02395259,0.03829157,0.0006523603,0.002264657,0.3855205],"genre_scores_gemma":[0.8820843,0.001498189,0.03377939,0.00473606,0.003043064,0.02381213,0.0001299855,0.00009167271,0.05082518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6653011,"threshold_uncertainty_score":0.8264482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111541767786363,"score_gpt":0.4772722547191157,"score_spread":0.426156837041252,"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."}}