{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008626826,0.000133062,0.0006879531,0.0002582475,0.00003999781,0.000007420068,0.0000875671,0.00006817283,0.000003570332],"category_scores_gemma":[0.0004367866,0.0001126153,0.00002802751,0.0004849503,0.0001054051,0.0001246934,0.00002791873,0.0002270735,1.175231e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129223,"about_ca_system_score_gemma":0.007725866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4663896,"about_ca_topic_score_gemma":0.9180341,"domain_scores_codex":[0.9976858,0.0001655877,0.001052579,0.0002760171,0.0004405529,0.0003794123],"domain_scores_gemma":[0.9988993,0.0002175952,0.0003263826,0.000256301,0.00007862592,0.0002217796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000412075,0.0002649736,0.6447542,0.01063036,0.00001871918,0.0001031406,0.01420102,0.000009140056,0.000002360087,0.003941926,0.01353155,0.3121306],"study_design_scores_gemma":[0.008064258,0.000984482,0.7629538,0.002753302,0.00001418336,0.0002565708,0.2054456,0.000123585,0.0000341749,0.0003431499,0.01883899,0.0001879148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8476604,0.08751716,0.0001033649,0.0629697,0.0002564289,0.001164282,0.0001263267,0.00001002269,0.0001922786],"genre_scores_gemma":[0.9812638,0.01250533,0.0001927896,0.005853623,0.0000433729,0.00003239118,0.00007301536,0.00001097077,0.00002473575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4516445,"threshold_uncertainty_score":0.9978994,"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."}}