{"id":"W2077829047","doi":"10.3928/00220124-20100503-08","title":"Continuing Education in Informatics Among Registered Nurses in the United States in 2000","year":2010,"lang":"en","type":"article","venue":"The Journal of Continuing Education in Nursing","topic":"Nursing education and management","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Informatics; Continuing education; Health informatics; Logistic regression; Medicine; Nursing; Medical education; Bivariate analysis; Continuing medical education; The Internet; Family medicine; Political science; Computer science; Public health; World Wide Web","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":[0.0009792551,0.00008430771,0.000110752,0.0006594477,0.0002598265,0.000386429,0.0002640923,0.0003727885,0.001359767],"category_scores_gemma":[0.005196354,0.0001075758,0.0001031472,0.0005690437,0.0001574363,0.0003782968,0.0003865302,0.0004038648,0.0002846968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005940399,"about_ca_system_score_gemma":0.0009336732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140828,"about_ca_topic_score_gemma":0.02249266,"domain_scores_codex":[0.999438,0.00008428318,0.00007972652,0.00005826079,0.0002616945,0.00007816254],"domain_scores_gemma":[0.996768,0.0004689955,0.001342401,0.00007411525,0.00066705,0.0006795062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004578302,0.0001115272,0.9799719,0.00003938861,0.0000070293,0.00009851837,0.0007451475,0.00003737496,0.0001985428,0.0000376249,0.001979456,0.01672771],"study_design_scores_gemma":[0.000008422967,0.0001267636,0.9959694,0.00003806911,0.00000472954,0.0003170894,0.0008549016,0.0001358909,0.00008665791,0.00001743232,0.002437789,0.000002918132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966424,0.0004239514,0.00009475751,0.0004881438,0.00002153276,0.00003151526,0.0004945525,0.00001083804,0.001792466],"genre_scores_gemma":[0.9964233,0.0006161362,0.0002265338,0.0003540347,0.00002763449,0.00003610248,0.0009914731,0.000002755847,0.001321953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140828,"threshold_uncertainty_score":0.02268374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032396904147358,"score_gpt":0.3237419031951199,"score_spread":0.3134179341536463,"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."}}