{"id":"W3015618842","doi":"10.2196/19076","title":"Global Reach of an Online COVID-19 Course in Multiple Languages on OpenWHO in the First Quarter of 2020: Analysis of Platform Use Data","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pan American Health Organization; Strong; World Health Organization","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Course (navigation); Massive open online course; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Data science; Computer science; World Wide Web; Medicine; Geography; Engineering; Virology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157013,0.0002440317,0.000240544,0.003872863,0.0003046798,0.001310015,0.0004481665,0.0003199631,0.003436044],"category_scores_gemma":[0.006355354,0.0001273013,0.0004577244,0.004016667,0.0003205876,0.001485629,0.001715182,0.0004942227,0.001280909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005537188,"about_ca_system_score_gemma":0.0004204247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559456,"about_ca_topic_score_gemma":0.01387348,"domain_scores_codex":[0.9992286,0.000187422,0.00007112407,0.0001457582,0.0002060708,0.0001610517],"domain_scores_gemma":[0.9930161,0.002623908,0.002161405,0.0002754253,0.001048503,0.000874584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001234104,0.00005660727,0.9878966,0.00006022595,0.00004418184,0.00008810496,0.00167517,0.0002109569,0.0001412998,0.0001330902,0.001377169,0.008193207],"study_design_scores_gemma":[0.000002269345,0.00007078057,0.9932541,0.00002920242,0.00001379111,0.00007419821,0.004256518,0.0006272842,0.0001141128,0.00003910347,0.001509524,0.000009061927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915789,0.0001031588,0.0001099513,0.0000715373,0.000004765845,0.00002109611,0.006109007,0.00001772999,0.001983939],"genre_scores_gemma":[0.9954728,0.00009302518,0.0001495491,0.00002384145,0.000006240131,0.00004957729,0.003625693,0.00001305089,0.000566086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01559456,"threshold_uncertainty_score":0.03100759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4244156211589583,"score_gpt":0.5947888998187619,"score_spread":0.1703732786598037,"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."}}