{"id":"W3186836747","doi":"10.2196/30492","title":"COVID-19 Communication From Seven Health Care Institutions in North Texas for English- and Spanish-Speaking Cancer Patients: Mixed Method Website Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health","keywords":"Health equity; Readability; Thematic analysis; The Internet; Health care; Pandemic; Ethnic group; Medical education; Psychology; Medicine; Coronavirus disease 2019 (COVID-19); Political science; Sociology; Public health; Nursing; World Wide Web; Computer science; Social 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":[0.01246984,0.0003235558,0.0006723323,0.002482625,0.002790712,0.002531645,0.0009543161,0.000745863,0.002438139],"category_scores_gemma":[0.0250554,0.0005661036,0.0006404094,0.002748266,0.001279824,0.002294811,0.002645235,0.0009935512,0.00038881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005061897,"about_ca_system_score_gemma":0.006519348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01885726,"about_ca_topic_score_gemma":0.04583896,"domain_scores_codex":[0.9922111,0.004374274,0.001080309,0.0007956725,0.0009595378,0.0005791913],"domain_scores_gemma":[0.9635593,0.02041677,0.008280306,0.001150215,0.005092667,0.001500794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005384179,0.001502472,0.626167,0.002669674,0.0002220507,0.0013677,0.3310042,0.00009988251,0.001069866,0.0004013967,0.002485229,0.03247212],"study_design_scores_gemma":[0.0001098333,0.001314344,0.4570373,0.001480186,0.0002041838,0.0004833065,0.5308811,0.0004722873,0.0008590534,0.0001627597,0.006923505,0.00007221785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975799,0.0003083456,0.0001947848,0.000200479,0.000006026609,0.0006048299,0.0004504086,0.000004310361,0.0006508568],"genre_scores_gemma":[0.9934838,0.0005554445,0.001333692,0.0007901221,0.00002482963,0.00261649,0.0006162457,0.00001144184,0.0005677262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01885726,"threshold_uncertainty_score":0.06594759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064338212556316,"score_gpt":0.5274871473606788,"score_spread":0.4210533261050472,"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."}}