{"id":"W4317542625","doi":"10.2196/39289","title":"Provider and Older Patient Responses to Rapid Expansion of Telehealth in an Urban Cancer Center: Mixed Methods Critical Incident Evaluation","year":2023,"lang":"en","type":"article","venue":"Iproceedings","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Nursing; Workflow; Medicine; Thematic analysis; Telemedicine; Descriptive statistics; Pandemic; Data collection; Stakeholder; Family medicine; Medical emergency; Medical education; Qualitative research; Health care; Coronavirus disease 2019 (COVID-19); Public relations; Political science; Sociology","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":[0.002049237,0.0001400846,0.0003369637,0.0005247575,0.0000697473,0.00002027412,0.00005054455,0.000103886,0.00004594594],"category_scores_gemma":[0.004056209,0.0001226118,0.000031462,0.0006135158,0.00004851729,0.0001941976,0.00006770849,0.000167565,0.000003028956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674207,"about_ca_system_score_gemma":0.0006944693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035093,"about_ca_topic_score_gemma":0.0001057988,"domain_scores_codex":[0.9980627,0.0001579599,0.0004622639,0.0003832046,0.0005556088,0.0003782432],"domain_scores_gemma":[0.998439,0.0003375675,0.00008396208,0.0001383404,0.0005721466,0.0004289762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001728005,0.0002052662,0.4124607,0.001712118,0.00001094779,0.00001277613,0.03587343,0.000002913899,0.05629047,0.00007415447,0.004131561,0.4874976],"study_design_scores_gemma":[0.001442236,0.001722352,0.9722416,0.0009768954,0.00004394648,0.00001230924,0.003436642,0.001500962,0.01684508,0.0001210878,0.001517616,0.0001392807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850275,0.0005105812,0.00004419355,0.01295166,0.0002283054,0.001144457,0.00001136311,0.00006168603,0.00002024127],"genre_scores_gemma":[0.9945445,0.0001727538,0.001692595,0.003307149,0.0001083252,0.0001224626,0.000009574806,0.00002454986,0.00001807813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5597809,"threshold_uncertainty_score":0.4999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201800168071463,"score_gpt":0.5128686752804194,"score_spread":0.3926886584732731,"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."}}