{"id":"W2338601989","doi":"10.2196/cancer.5108","title":"Predictors of Online Cancer Prevention Information Seeking Among Patients and Caregivers Across the Digital Divide: A Cross-Sectional, Correlational Study","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"eHealth; Digital divide; Health Information National Trends Survey; The Internet; Logistic regression; Ethnic group; Information seeking; Public health; Preference; Social media; Psychology; Cancer prevention; Cross-sectional study; Medicine; Gerontology; Health information; Cancer; Nursing; Health care; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005754145,0.0001191958,0.000152781,0.00005884137,0.0007299904,0.0000534337,0.0001304346,0.0001191617,0.0003855003],"category_scores_gemma":[0.0002385032,0.0000683683,0.00004517583,0.0001880689,0.0001515264,0.004074691,0.0001321678,0.0002454664,0.0000115958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003629464,"about_ca_system_score_gemma":0.0003473652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007201687,"about_ca_topic_score_gemma":0.0007026542,"domain_scores_codex":[0.9978551,0.0001424908,0.001141396,0.0001506166,0.000444678,0.000265725],"domain_scores_gemma":[0.9978144,0.0002788439,0.0009593156,0.000170425,0.0006915929,0.00008549433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001156248,0.00006383627,0.9668955,0.000135015,0.00002834044,1.867942e-8,0.01408659,0.00003217109,6.98655e-7,0.00001477089,0.0007023984,0.01792501],"study_design_scores_gemma":[0.001858668,0.00006954668,0.985365,0.0002026155,0.000006694492,6.009795e-8,0.001748988,0.0002745437,8.549032e-7,0.00002809182,0.01036469,0.00008023185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944325,0.00002722671,0.0003514361,0.0001743169,0.001012483,0.001847706,0.001874266,0.00003850131,0.0002415641],"genre_scores_gemma":[0.9979434,0.00003319466,0.000004829877,0.0002350968,0.0001783274,0.0007324276,0.0001354977,0.000007005088,0.0007301986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01846949,"threshold_uncertainty_score":0.561457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716662095896213,"score_gpt":0.4487891580604572,"score_spread":0.411622537101495,"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."}}