{"id":"W2338779781","doi":"10.2196/publichealth.4442","title":"Understanding Digital Technology Access and Use Among New York State Residents to Enhance Dissemination of Health Information","year":2016,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dissemination; The Internet; Health Information National Trends Survey; Random digit dialing; Phone; Mobile phone; Internet privacy; Information Dissemination; Population; Internet access; Sample (material); Health information technology; Public health; Business; Medicine; Health care; Computer science; Environmental health; World Wide Web; Health information; Telecommunications; Nursing; Political 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":[0.001229487,0.0001264764,0.0001127735,0.0009329675,0.0004304459,0.0008476162,0.000259288,0.0003505106,0.002358155],"category_scores_gemma":[0.003969381,0.0001149609,0.0002346346,0.0006616319,0.0002322024,0.0009371798,0.0006619718,0.0003818832,0.0001451386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008887919,"about_ca_system_score_gemma":0.001492353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06084591,"about_ca_topic_score_gemma":0.1146759,"domain_scores_codex":[0.9995849,0.0001385963,0.00003816863,0.00004202912,0.000100912,0.00009543708],"domain_scores_gemma":[0.9983966,0.0006032567,0.0004997012,0.00004383823,0.0002379962,0.000218552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002189486,0.0001749334,0.9711308,0.00007052066,0.00002901693,0.00004395174,0.003829928,0.00008577704,0.0002488141,0.0001242458,0.0007969508,0.02344314],"study_design_scores_gemma":[0.000002700803,0.00006446609,0.9923241,0.00009959455,0.00001946907,0.00004204125,0.005531435,0.0004276535,0.00006705927,0.00005203093,0.001365783,0.000003630971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960258,0.0003769399,0.0001226352,0.0007686113,0.000004619744,0.00003107218,0.0002180971,0.000002764823,0.0024494],"genre_scores_gemma":[0.9983857,0.0006226504,0.0002928835,0.00009555541,0.0000096383,0.00003992752,0.0001626169,0.000001030302,0.000389985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06084591,"threshold_uncertainty_score":0.1209835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002677075559634,"score_gpt":0.4412226331882074,"score_spread":0.340954925632244,"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."}}