{"id":"W4366121791","doi":"10.2196/44339","title":"Factors Associated With Online Patient-Provider Communications Among Cancer Survivors in the United States During COVID-19: Cross-sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Health Information National Trends Survey; Logistic regression; Odds; Cross-sectional study; Cancer; Odds ratio; Family medicine; Coronavirus disease 2019 (COVID-19); Health care; Gerontology; Demography; Internal medicine; Health information; Disease","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":[0.0008728182,0.0002185823,0.0002851852,0.0008177957,0.0004995301,0.0006825764,0.0003429062,0.000502461,0.001442731],"category_scores_gemma":[0.003382923,0.0002957664,0.0004618087,0.001335735,0.0001928179,0.000691216,0.0007389075,0.0009053844,0.0001797513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004581264,"about_ca_system_score_gemma":0.000634033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01561564,"about_ca_topic_score_gemma":0.021431,"domain_scores_codex":[0.9992817,0.0001802378,0.0001399847,0.0001362681,0.000147502,0.0001143116],"domain_scores_gemma":[0.9966148,0.0004985536,0.001888595,0.0001534642,0.000426433,0.0004182293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001330191,0.00003751095,0.9991949,0.00001360782,0.0000230225,0.00001286588,0.00009433851,0.000009880328,0.00002124724,0.000004805172,0.0001367158,0.0004377909],"study_design_scores_gemma":[0.000001783413,0.00003737745,0.999139,0.00001566659,0.00001580419,0.00006043934,0.0004806713,0.00007054467,0.00001518528,0.000004435984,0.0001565363,0.000002575411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996456,0.0003190197,0.00006987846,0.0001309804,0.00001144884,0.00005055728,0.002386318,0.000005506587,0.0005704734],"genre_scores_gemma":[0.9979488,0.0002354662,0.0001198251,0.0001181953,0.00001346388,0.00005822059,0.001376128,0.000002391704,0.0001275352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01561564,"threshold_uncertainty_score":0.03104949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1601987471853512,"score_gpt":0.4587049311516261,"score_spread":0.2985061839662749,"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."}}