{"id":"W3130502027","doi":"10.1177/1757975921989995","title":"COVID-19, promotion and provision of palliative care: reaching out, accounting for linguistic diversity","year":2021,"lang":"en","type":"article","venue":"Global Health Promotion","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Palliative care; Context (archaeology); General partnership; Promotion (chess); Pandemic; Health literacy; Nursing; Diversity (politics); Public relations; Public health; Health promotion; Health care; Political science; Medicine; Economic growth; Sociology; Coronavirus disease 2019 (COVID-19); Politics; Disease; Law; Geography; Infectious disease (medical specialty); Economics","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":[0.01693929,0.000416349,0.000559609,0.00108301,0.01115701,0.00905853,0.002412221,0.008252476,0.00193481],"category_scores_gemma":[0.03122845,0.0002397771,0.0007060993,0.0008760576,0.03402739,0.009659172,0.009388198,0.01193905,0.0002964033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008428553,"about_ca_system_score_gemma":0.02717857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034638,"about_ca_topic_score_gemma":0.0479119,"domain_scores_codex":[0.9814345,0.01430608,0.0007292764,0.0007711815,0.00141826,0.001340765],"domain_scores_gemma":[0.9802462,0.01239245,0.001676551,0.0005132298,0.002163589,0.003008042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007158764,0.00006790372,0.006144225,0.001482271,0.00003480432,0.001338396,0.3077846,0.0003209883,0.0003800358,0.4255232,0.1520507,0.1048013],"study_design_scores_gemma":[0.00002579584,0.0001152884,0.006973824,0.008165408,0.00004109141,0.001448405,0.2135868,0.0004349185,0.0003505818,0.1511033,0.617664,0.00009047669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01017848,0.01759513,0.001666207,0.9503,0.004468563,0.00002981782,0.00001165751,0.00001583123,0.01573432],"genre_scores_gemma":[0.5772887,0.04019802,0.005722185,0.3571305,0.009875393,0.0002373679,0.00003119667,0.00008455502,0.009431957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02034638,"threshold_uncertainty_score":0.08958465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0874685268739756,"score_gpt":0.438130925742154,"score_spread":0.3506623988681783,"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."}}