{"id":"W2107469846","doi":"10.1016/j.jneb.2014.06.004","title":"Technology Use and Interest Among Low-Income Parents of Young Children: Differences by Age Group and Ethnicity","year":2014,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Ethnic group; Multivariate analysis; Phone; Descriptive statistics; The Internet; Demography; Psychology; Multivariate analysis of variance; Gerontology; Medicine; Sociology; World Wide Web; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005983616,0.0002799207,0.0004045295,0.001088647,0.0007174822,0.00116059,0.0003516484,0.0006327177,0.003017503],"category_scores_gemma":[0.002625029,0.0004457888,0.0009314708,0.001362763,0.0003872998,0.0008167894,0.0007017085,0.001002566,0.0004460283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004296475,"about_ca_system_score_gemma":0.0004079943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0345935,"about_ca_topic_score_gemma":0.04302385,"domain_scores_codex":[0.9996243,0.0000819751,0.00004624086,0.00005162631,0.00007306712,0.0001228435],"domain_scores_gemma":[0.9975521,0.0005775617,0.0009819228,0.00008344799,0.0002473912,0.0005576865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004250385,0.00008418058,0.9983803,0.000004042278,0.00002059087,0.00005618352,0.0007420728,0.000007009274,0.00009680979,0.000009647601,0.00002945683,0.0005271283],"study_design_scores_gemma":[0.00000128703,0.00006132293,0.9973678,0.000004504987,0.00001146565,0.00006864247,0.002373019,0.00003177446,0.00002587963,0.000006740265,0.00004506433,0.000002463097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994335,0.00007191979,0.00001168621,0.00002551075,0.00000282825,0.000002559842,0.0001143687,9.470632e-7,0.0003367262],"genre_scores_gemma":[0.9993942,0.00009976294,0.00002321035,0.00002013201,0.000003390929,0.000006229888,0.0001763864,0.000001740471,0.0002750435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0345935,"threshold_uncertainty_score":0.0687843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04202836717905126,"score_gpt":0.4024437607813955,"score_spread":0.3604153936023442,"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."}}