{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009763403,0.0001852397,0.0004364345,0.000115831,0.001295549,0.00004343091,0.0002140475,0.0001452198,0.0003661205],"category_scores_gemma":[0.0008873728,0.0001753664,0.00004586305,0.0005464592,0.00004152759,0.0008843722,0.0002208676,0.0006329354,0.00000698254],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002429339,"about_ca_system_score_gemma":0.006221456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0316059,"about_ca_topic_score_gemma":0.3674687,"domain_scores_codex":[0.9959713,0.001539944,0.001379515,0.0004198013,0.0002311734,0.0004582757],"domain_scores_gemma":[0.9966511,0.0007718228,0.0006737068,0.0005529819,0.0009636148,0.0003867562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009605415,0.000184798,0.8172932,0.0008774772,0.00002008986,2.456401e-7,0.1642864,0.0001130359,3.441349e-7,0.000102974,0.002484245,0.01454122],"study_design_scores_gemma":[0.002774174,0.00003934886,0.6253277,0.0002099466,0.00001222306,3.045538e-8,0.02263818,0.0002213002,0.0000021663,0.00002109507,0.3486169,0.0001369417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811667,0.002756601,0.002379395,0.002906156,0.00130311,0.0055342,0.003039163,0.0001072791,0.0008073708],"genre_scores_gemma":[0.9665794,0.0006229369,0.003943872,0.02214047,0.0002933112,0.004798807,0.001494904,0.00002270007,0.0001035357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3461327,"threshold_uncertainty_score":0.9994124,"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."}}