{"id":"W4225293783","doi":"10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a2695","title":"mHealth Telemonitoring of Long COVID-19: A Mixed Methods Study on Challenges, Technology Acceptance and Perceived Added value","year":2022,"lang":"en","type":"article","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"mHealth; Coronavirus disease 2019 (COVID-19); Telemedicine; Value (mathematics); Computer science; 2019-20 coronavirus outbreak; Internet privacy; Medicine; Health care; Virology; Nursing; Psychological intervention; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04733337,0.0004951863,0.001617972,0.001270127,0.001294865,0.002766163,0.001154422,0.001136991,0.002130175],"category_scores_gemma":[0.05719253,0.0007115541,0.002627771,0.001592639,0.0005837454,0.00275482,0.002055763,0.001411605,0.0002647187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876326,"about_ca_system_score_gemma":0.003253708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004520925,"about_ca_topic_score_gemma":0.005323525,"domain_scores_codex":[0.9736544,0.01651995,0.00359886,0.001202341,0.00396201,0.001062469],"domain_scores_gemma":[0.9508295,0.03274949,0.009829991,0.001820755,0.002975102,0.001795138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.008233696,0.01224922,0.7896013,0.005989259,0.004501991,0.0003130883,0.0349495,0.0003124577,0.0009058111,0.001196139,0.002387419,0.1393602],"study_design_scores_gemma":[0.002131328,0.01733787,0.9361427,0.004045627,0.002687168,0.0003488114,0.02830082,0.003082699,0.001129156,0.0008323726,0.003678531,0.0002828194],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926026,0.001581796,0.001180187,0.0006035232,0.0000561265,0.002261408,0.0005868686,0.00001233341,0.00111512],"genre_scores_gemma":[0.9887893,0.0009853865,0.003716873,0.0005991161,0.00005133588,0.004984154,0.0004204544,0.00001210247,0.0004411791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04733337,"threshold_uncertainty_score":0.2503258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074739655876777,"score_gpt":0.4778612514940919,"score_spread":0.3703872859064142,"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."}}