{"id":"W4300874789","doi":"10.2196/37272","title":"Racial Disparities in Patient-Provider Communication During Telehealth Visits Versus Face-to-face Visits Among Asian and Native Hawaiian and Other Pacific Islander Patients With Cancer: Cross-sectional Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Telehealth; Pacific islanders; Medicine; Telemedicine; Family medicine; Patient satisfaction; Cross-sectional study; Health equity; Logistic regression; Gerontology; Health care; Nursing; Public health; Internal medicine; Environmental health; Population","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":[0.0001421678,0.0001933683,0.0003394712,0.0004122052,0.000507123,0.00004648305,0.00006918467,0.00005266215,0.0003463415],"category_scores_gemma":[0.00001706573,0.0001755715,0.00003345898,0.0007731437,0.00008199059,0.0002063845,0.0001008164,0.0003331931,5.755082e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006263612,"about_ca_system_score_gemma":0.0001536574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007033833,"about_ca_topic_score_gemma":0.0251676,"domain_scores_codex":[0.998184,0.0001268296,0.0003993116,0.000414936,0.0005240018,0.0003508836],"domain_scores_gemma":[0.999179,0.00005990606,0.0002404593,0.0002051272,0.000122531,0.0001929446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002144485,0.00009159117,0.977994,0.0001125593,0.0002163798,0.000003055052,0.0114255,0.0003366494,0.000005871298,0.00001110007,0.0001343006,0.007524545],"study_design_scores_gemma":[0.00680235,0.0006659231,0.9857633,0.00005117337,0.0001036324,0.000001682015,0.004715678,0.0001752722,0.00001832827,0.000005093661,0.001519697,0.00017788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961423,0.0004281251,0.00001907766,0.00130084,0.0001275376,0.001453962,0.0003514116,0.00003177879,0.0001449856],"genre_scores_gemma":[0.9976414,0.00008349611,0.00004727868,0.0006101242,0.00006858741,0.001199646,0.0001863324,0.00002905631,0.0001340605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01813377,"threshold_uncertainty_score":0.9995784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810729857877099,"score_gpt":0.3468852588300478,"score_spread":0.3287779602512768,"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."}}