{"id":"W4389318542","doi":"10.1590/0102-311xen057423","title":"Uncovering the impact of COVID-19 on the place of death of cancer patients in South America","year":2023,"lang":"en","type":"article","venue":"Cadernos de Saúde Pública","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Fonds de recherche du Québec; Réseau de cancérologie Rossy; McGill University","keywords":"Death certificate; Pandemic; Latin Americans; Medicine; Place of death; Demography; Coronavirus disease 2019 (COVID-19); Mortality rate; Cancer; Cause of death; Environmental health; Gerontology; Palliative care; Disease; Nursing; Surgery; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004032722,0.0001481027,0.000395478,0.0002284083,0.00005043288,0.000004445031,0.0002136518,0.00009172946,0.0001232393],"category_scores_gemma":[0.002555393,0.00008218414,0.0001663368,0.0008427073,0.0001350172,0.00002620993,0.00007171643,0.0003139105,0.000007666264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005611519,"about_ca_system_score_gemma":0.001695631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202324,"about_ca_topic_score_gemma":0.0002261807,"domain_scores_codex":[0.9985383,0.0001302037,0.000408663,0.0001825883,0.00037917,0.000361141],"domain_scores_gemma":[0.9978701,0.001086214,0.0003002961,0.0004188359,0.0001084707,0.0002160141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006891669,0.000136446,0.9753753,0.0004658285,0.00009261226,0.00000622028,0.0133541,0.003879996,0.001136435,0.0001053304,0.002914367,0.001844189],"study_design_scores_gemma":[0.00126466,0.0007020321,0.9922972,0.0002915563,0.00003904675,0.000001163785,0.0009362513,0.000547405,0.001598209,0.0001398381,0.002100514,0.00008214296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896799,0.0001660386,0.00001649852,0.008837827,0.00004194981,0.0005933042,0.0001913456,0.00002573844,0.000447405],"genre_scores_gemma":[0.9973377,0.000236145,0.000007042582,0.002231816,0.00004673214,0.00003221921,0.00001134896,0.00002257897,0.00007440617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02000622,"threshold_uncertainty_score":0.9862919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07888437322938961,"score_gpt":0.4151884933111168,"score_spread":0.3363041200817272,"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."}}