{"id":"W1970124106","doi":"10.1097/ncn.0b013e3181fc3c24","title":"United States Registered Nurses Self-report of Access to the Web","year":2010,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Marital status; Logistic regression; Nurse education; Bivariate analysis; Nursing; Medicine; Ethnic group; Continuing education; Health informatics; Sample (material); Descriptive statistics; Family medicine; Psychology; Medical education; Public health; Environmental health; Political science; Population","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":[0.002481402,0.0002039868,0.0003491738,0.0003953976,0.0008897185,0.0001245653,0.0009322473,0.0001801448,0.00009104395],"category_scores_gemma":[0.000444609,0.000143297,0.00007136001,0.0009091517,0.0001308611,0.001568521,0.0002074073,0.0009886577,0.00009479597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423786,"about_ca_system_score_gemma":0.0004933605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008705859,"about_ca_topic_score_gemma":0.00003509326,"domain_scores_codex":[0.9957407,0.00021502,0.002935617,0.0001296983,0.0004276512,0.0005513514],"domain_scores_gemma":[0.9954355,0.000832296,0.001623116,0.001054975,0.0007788638,0.0002751972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001586364,0.0002777589,0.03039608,0.00305191,0.00007583782,0.000003557757,0.4043651,0.002513956,0.00002804065,0.002587247,0.4611662,0.09537575],"study_design_scores_gemma":[0.0007518932,0.00006406551,0.009187061,0.001194372,0.00002583866,0.00003165608,0.0103902,0.2858049,0.00009557701,0.000323808,0.691879,0.0002515791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8921062,0.00000904529,0.07059647,0.006044784,0.009071559,0.002049077,0.00005281875,0.000307441,0.01976263],"genre_scores_gemma":[0.8574676,0.00003432778,0.1073561,0.03344641,0.0006609302,0.00011653,0.0005322698,0.00004395671,0.000341927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3939749,"threshold_uncertainty_score":0.6843085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08334224221261642,"score_gpt":0.461076072339462,"score_spread":0.3777338301268455,"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."}}