{"id":"W2981967603","doi":"10.1097/nna.0000000000000719","title":"Competency-based Professional Advancement Model for Advanced Practice RNs","year":2019,"lang":"en","type":"article","venue":"JONA The Journal of Nursing Administration","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Medical education; Process (computing); Clinical Practice; Advanced Practice Nurses; Nursing; Psychology; Medicine; Health care; Computer science; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.00382412,0.00009924522,0.0001755577,0.0001025206,0.0009587468,0.0000209077,0.0002490262,0.00008223367,0.00008849337],"category_scores_gemma":[0.001125959,0.00006374012,0.00006213086,0.0001898361,0.00007738783,0.0006073844,0.00000871419,0.0005539689,0.00003715768],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004824302,"about_ca_system_score_gemma":0.01127435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000300975,"about_ca_topic_score_gemma":0.0000132273,"domain_scores_codex":[0.9974362,0.000555128,0.0007602411,0.0001219907,0.0007065933,0.0004198374],"domain_scores_gemma":[0.9953386,0.002148257,0.001018115,0.0001953286,0.001103495,0.0001962305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0593365,0.01120396,0.006093946,0.003406126,0.0001938734,0.000009846521,0.1258761,0.1251601,0.09359869,0.07161994,0.3656234,0.1378774],"study_design_scores_gemma":[0.006685468,0.007179005,0.00709527,0.004431407,0.0001519069,0.00005891702,0.07169201,0.7951705,0.001199622,0.01596854,0.08993234,0.0004350263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4926544,0.0003772148,0.2126671,0.2740161,0.01084114,0.004326494,0.0000382214,0.00003381283,0.005045436],"genre_scores_gemma":[0.9563411,0.00003603997,0.03846263,0.002303919,0.0004652309,0.00004912345,0.00001870561,0.00001269347,0.002310499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6700104,"threshold_uncertainty_score":0.9943308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1632432438989625,"score_gpt":0.5601792603786221,"score_spread":0.3969360164796596,"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."}}