{"id":"W3074439196","doi":"10.2991/artres.k.200810.001","title":"“Letters from” during the 2020 COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Artery Research","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Erasmus+; Erasmus Universitair Medisch Centrum Rotterdam; Erasmus Medisch Centrum","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Internal medicine; Outbreak; Infectious disease (medical specialty)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001583351,0.00009677458,0.0001357638,0.0000621933,0.001189864,0.00003862102,0.000544566,0.0000557846,0.003071015],"category_scores_gemma":[0.0006492674,0.00006613868,0.00004962639,0.0003619032,0.0001246285,0.0001004266,0.0006862141,0.0009527208,0.00644705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600645,"about_ca_system_score_gemma":0.000190141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003511919,"about_ca_topic_score_gemma":0.0001936411,"domain_scores_codex":[0.9961276,0.002009472,0.0002664688,0.0003448043,0.0005710161,0.0006806207],"domain_scores_gemma":[0.9975788,0.001464865,0.00004182848,0.0004501105,0.0000427638,0.0004216154],"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":[0.0009699437,0.00003985442,0.1607516,0.0003305055,0.0001117413,0.0002785115,0.06942327,0.00001704814,0.02430134,0.0004474709,0.742031,0.001297714],"study_design_scores_gemma":[0.001259348,0.0000648209,0.0444357,0.00004568521,0.000009978487,0.000001769843,0.02391959,0.0001647081,0.00002506327,0.0005611376,0.9293772,0.0001350225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8601077,0.00008345341,0.0002495559,0.1310128,0.0001376056,0.0008193929,0.00002037206,0.000110239,0.007458956],"genre_scores_gemma":[0.9471378,0.00008713007,0.00001799838,0.04657025,0.0006911535,0.0002633517,0.00001243003,0.00002144424,0.005198399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1873462,"threshold_uncertainty_score":0.9978403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4209251854603044,"score_gpt":0.5419855564776153,"score_spread":0.1210603710173109,"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."}}