{"id":"W3015301564","doi":"10.1101/2020.04.05.20054494","title":"Physician Deaths from Corona Virus Disease (COVID-19)","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; University of Toronto","funders":"","keywords":"Medicine; Pandemic; Coronavirus disease 2019 (COVID-19); Family medicine; Front line; China; Disease; Health care; Cause of death; Infectious disease (medical specialty); Medical emergency; Internal medicine","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"],"consensus_categories":[],"category_scores_codex":[0.0002173542,0.0005790138,0.001032175,0.0001601727,0.0001522411,0.00006504573,0.0004356024,0.0003626364,0.0006850085],"category_scores_gemma":[0.002396341,0.0005407671,0.0004702275,0.0002105965,0.0001203023,0.00005530143,0.0006634251,0.001392444,0.000651186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007763236,"about_ca_system_score_gemma":0.005519233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007525031,"about_ca_topic_score_gemma":0.0004968845,"domain_scores_codex":[0.9966736,0.0001768877,0.0005650576,0.001217057,0.0007682172,0.0005991793],"domain_scores_gemma":[0.9938789,0.0003836703,0.0002802338,0.001436665,0.0001163186,0.00390424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006506218,0.001570409,0.8361644,0.01474515,0.001340653,0.01278606,0.00688525,0.0002519509,0.01176513,0.001120573,0.06007236,0.04679185],"study_design_scores_gemma":[0.001751032,0.0001811946,0.7533364,0.0006972879,0.0007609485,0.000003440278,0.00006606957,0.0007536278,0.0004447806,0.01255574,0.2287813,0.0006681649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8456919,0.004754974,0.002316183,0.1395298,0.001737125,0.001891612,0.00195473,0.0008132684,0.001310419],"genre_scores_gemma":[0.8744246,0.0006641765,0.0002908749,0.1205601,0.00266032,0.00009785171,0.0009422573,0.0001100048,0.0002497491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1687089,"threshold_uncertainty_score":0.9997044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1728360788528319,"score_gpt":0.4213901008881219,"score_spread":0.24855402203529,"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."}}