{"id":"W3132448575","doi":"10.1111/tri.13853","title":"The higher impact of the COVID‐19 pandemic on resident/fellow training in low‐ and middle‐income countries","year":2021,"lang":"en","type":"letter","venue":"Transplant International","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Low and middle income countries; Middle income country; Coronavirus Infections; Middle income; Virology; Internal medicine; Developing country; Demographic economics; Economic growth; Outbreak; Infectious disease (medical specialty)","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":[0.0004603487,0.0002622249,0.0004239836,0.0001874165,0.000106897,0.00005160863,0.0003052352,0.0003743516,0.0004017202],"category_scores_gemma":[0.0001780032,0.0001469719,0.0002387538,0.0001156441,0.0001953397,0.0000449155,0.00002398786,0.001434003,0.000004771973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006627097,"about_ca_system_score_gemma":0.001899106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816607,"about_ca_topic_score_gemma":0.001568087,"domain_scores_codex":[0.9978911,0.0001548634,0.000513358,0.0003051294,0.0007923171,0.0003432627],"domain_scores_gemma":[0.9976169,0.001660664,0.0002008033,0.0003001689,0.0001019009,0.0001195993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003556135,0.00007773825,0.8595087,0.005365286,0.001408353,0.003347033,0.01508879,0.0001495393,0.0001589999,0.001165902,0.1097148,0.0004587891],"study_design_scores_gemma":[0.003764916,0.0003527755,0.6296401,0.01231411,0.0002109751,0.001128465,0.0001223679,0.00007742317,0.00004442887,0.0007697846,0.3511831,0.0003915431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.251714,0.0009217387,0.00001015289,0.7436294,0.001222807,0.0005020185,0.001027626,0.00002987109,0.0009423884],"genre_scores_gemma":[0.7301675,0.002240977,0.000004491676,0.2624406,0.001192009,0.00001961379,0.0003026857,0.00003245409,0.003599611],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4811888,"threshold_uncertainty_score":0.623011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138956782577956,"score_gpt":0.3809162317778672,"score_spread":0.2670205535200715,"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."}}