{"id":"W3117841874","doi":"10.7759/cureus.12365","title":"Organizing a Mass Gathering Amidst a Rising COVID-19 Public Health Crisis: Lessons Learned From a Chinese Public Health Forum in Vancouver, BC","year":2020,"lang":"en","type":"article","venue":"Cureus","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Nurses in Oncology; University of British Columbia","funders":"Ministry of Health, British Columbia","keywords":"Public health; Pandemic; Agency (philosophy); Coronavirus disease 2019 (COVID-19); Mass gathering; Christian ministry; Mass media; Medicine; Public relations; Political science; Nursing; Sociology; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003238237,0.000564822,0.001618698,0.0001549546,0.000721178,0.0001922038,0.0007846489,0.0002167933,0.0002264232],"category_scores_gemma":[0.04254569,0.0004763883,0.0002298306,0.001496957,0.0001107515,0.0004151107,0.0007965531,0.0008661101,0.00004393956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003025189,"about_ca_system_score_gemma":0.001400936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01364013,"about_ca_topic_score_gemma":0.03908982,"domain_scores_codex":[0.9940333,0.0011293,0.00139187,0.001217106,0.0005132059,0.001715187],"domain_scores_gemma":[0.9936973,0.00313389,0.0008270915,0.0007348927,0.0001033529,0.00150345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002120439,0.002118317,0.3733621,0.00384822,0.001107874,0.0002464602,0.1456169,0.000466596,0.0007335136,0.03262189,0.4132662,0.0264],"study_design_scores_gemma":[0.006395022,0.001031442,0.0113217,0.000408384,0.00005575124,0.000009028236,0.08040147,0.01140807,0.00001291836,0.4780168,0.4086433,0.002296131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05241176,0.005351356,0.1466023,0.7927749,0.0003963597,0.0009789352,0.0001125127,0.001206774,0.0001650761],"genre_scores_gemma":[0.9039545,0.001363829,0.01603539,0.07806367,0.0003068638,0.000102893,0.00002704828,0.0001159191,0.00002986583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8515428,"threshold_uncertainty_score":0.9997688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5317415100297042,"score_gpt":0.4703247982647808,"score_spread":0.06141671176492336,"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."}}