{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0614564,0.0006225754,0.000595196,0.002625329,0.003728605,0.002642039,0.001700208,0.0009240848,0.00136077],"category_scores_gemma":[0.06352547,0.0008530774,0.0009397943,0.002252035,0.001873868,0.002345888,0.004405399,0.001174461,0.000202483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005617817,"about_ca_system_score_gemma":0.009527213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006179095,"about_ca_topic_score_gemma":0.01151847,"domain_scores_codex":[0.9574758,0.03202249,0.004033724,0.001365325,0.00261778,0.002484853],"domain_scores_gemma":[0.9382201,0.03324839,0.01146954,0.002508336,0.01114381,0.003409789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001383264,0.005119172,0.5612705,0.001892993,0.0001974274,0.00128668,0.3404236,0.0006619241,0.001968135,0.0006030843,0.002050593,0.08314265],"study_design_scores_gemma":[0.0003783902,0.0101807,0.295211,0.001051142,0.000195077,0.0006069531,0.6785769,0.003052562,0.003721515,0.0005809244,0.006307216,0.0001375742],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932657,0.000118694,0.001737882,0.0003685187,0.00001473955,0.003770466,0.0001582714,0.00001490863,0.0005507767],"genre_scores_gemma":[0.9744631,0.0004424121,0.01053761,0.0008017537,0.00004412565,0.0130931,0.0002638684,0.00001535558,0.0003386607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0614564,"threshold_uncertainty_score":0.3250164,"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."}}