{"id":"W3203370192","doi":"10.3389/fdgth.2021.721898","title":"A “Not So Quiet” Revolution: Systemic Benefits and Challenges of Telehealth in the Context of COVID-19 in Quebec (Canada)","year":2021,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Lévis; Université Laval; Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Telehealth; Context (archaeology); Software deployment; Business; Public relations; Coronavirus disease 2019 (COVID-19); Equity (law); Service delivery framework; Pandemic; Health care; Political science; Remuneration; Service (business); Telemedicine; Medicine; Marketing; Engineering; Geography; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002256728,0.0002636357,0.000219151,0.0006259409,0.01891178,0.01095957,0.001367289,0.002121495,0.004173679],"category_scores_gemma":[0.003677363,0.0001743218,0.0002389444,0.001768194,0.0137533,0.00301457,0.003741793,0.003026254,0.0001716578],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1184346,"about_ca_system_score_gemma":0.1069189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900193,"about_ca_topic_score_gemma":0.9939931,"domain_scores_codex":[0.9976513,0.000906859,0.0000378852,0.0001543728,0.000358517,0.0008910022],"domain_scores_gemma":[0.9968009,0.001094359,0.0002366655,0.0000696365,0.0007886317,0.001009711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001650461,0.0001503686,0.0475565,0.0006142223,0.00003483312,0.005518083,0.5988898,0.001697625,0.001931538,0.1809979,0.07458806,0.08785615],"study_design_scores_gemma":[0.00001419937,0.00005689116,0.04267416,0.0006310904,0.00002577874,0.0004410261,0.7360159,0.000848557,0.0004286398,0.003844843,0.2149294,0.00008963604],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6633227,0.009762771,0.002478289,0.1943716,0.0004623199,0.0001275018,0.0006517048,0.00006564191,0.1287576],"genre_scores_gemma":[0.9817089,0.002384503,0.0004832983,0.006163637,0.00003876744,0.00002347972,0.00006553975,0.00001958705,0.009112336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8815655,"threshold_uncertainty_score":0.859307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407671538790076,"score_gpt":0.3136330887532482,"score_spread":0.2728659348742407,"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."}}