{"id":"W3112762500","doi":"10.1093/eurjcn/zvaa011","title":"Breaking pandemic chain reactions: telehealth psychosocial support in cardiovascular disease during COVID-19","year":2021,"lang":"en","type":"letter","venue":"European Journal of Cardiovascular Nursing","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pandemic; Medicine; Context (archaeology); Exacerbation; Telehealth; Disease; Intensive care medicine; Coronavirus disease 2019 (COVID-19); Psychosocial; Health care; Medical emergency; Telemedicine; Infectious disease (medical specialty); Internal medicine; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01010552,0.000848882,0.002535285,0.001362723,0.0005577244,0.0001201751,0.000878525,0.0004646868,0.0002800513],"category_scores_gemma":[0.0005193722,0.0009296181,0.006269342,0.000892279,0.0002622867,0.0002702299,0.0001038068,0.0054523,0.00008442442],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005514855,"about_ca_system_score_gemma":0.003279908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005424629,"about_ca_topic_score_gemma":0.000007437225,"domain_scores_codex":[0.9831567,0.009276872,0.002370863,0.001353154,0.002319824,0.001522631],"domain_scores_gemma":[0.9950058,0.000282315,0.001176792,0.002121825,0.0002714194,0.001141795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001379203,0.0006918457,0.00354182,0.005177768,0.02165124,0.3063793,0.01281145,0.00694027,0.00002582941,0.00002680322,0.411314,0.2300605],"study_design_scores_gemma":[0.00486207,0.0001540039,0.01164796,0.002459144,0.002486662,0.008410987,0.001101816,0.000003269794,0.000001813901,0.00005307703,0.9680253,0.000793942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.03802212,0.6190654,0.02370971,0.2511867,0.04307237,0.003627594,0.0002835041,0.0005452491,0.02048736],"genre_scores_gemma":[0.3520159,0.04674707,0.00111972,0.4748135,0.1174701,0.000107944,0.0009360571,0.002442897,0.004346825],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5723184,"threshold_uncertainty_score":0.9993154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06508707096053042,"score_gpt":0.3619360944889485,"score_spread":0.2968490235284181,"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."}}