{"id":"W4407833626","doi":"10.3233/978-1-61499-738-2-51","title":"Nursing Informatics Competencies for Entry to Practice: The Perspective of Six Countries","year":2017,"lang":"en","type":"book-chapter","venue":"Studies in health technology and informatics","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Informatics; Nursing; Health informatics; Medicine; Knowledge management; Medical education; Computer science; Political science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002050942,0.0005453491,0.0003524894,0.001259857,0.00411334,0.01094824,0.00091936,0.002047184,0.006567018],"category_scores_gemma":[0.00236679,0.0002229903,0.0002530758,0.001779392,0.004629975,0.006470542,0.006802082,0.005371154,0.001445446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004792885,"about_ca_system_score_gemma":0.01009767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00785308,"about_ca_topic_score_gemma":0.01602111,"domain_scores_codex":[0.998383,0.0008436015,0.00006547055,0.00008553819,0.000273386,0.0003489735],"domain_scores_gemma":[0.9984277,0.000587818,0.0001003228,0.00003655282,0.0001869465,0.00066055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003558057,0.0001744268,0.002377294,0.0004409651,0.000005987924,0.00156036,0.1573969,0.000383013,0.0003419364,0.5777595,0.09607615,0.1634479],"study_design_scores_gemma":[0.000007199507,0.00005232015,0.002356095,0.001736699,0.000003347303,0.0009772114,0.09556759,0.0001650614,0.0001620063,0.02026651,0.8786838,0.00002216344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0496337,0.03633304,0.002822902,0.03962025,0.001545481,0.00009126126,0.00008002108,0.00006806116,0.8698053],"genre_scores_gemma":[0.5453634,0.06594858,0.01307495,0.01652589,0.0004839512,0.0003566649,0.0003248205,0.0001272913,0.3577945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01094824,"threshold_uncertainty_score":0.03477496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087400768598157,"score_gpt":0.4145938174817865,"score_spread":0.3737198097958049,"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."}}