{"id":"W3094442251","doi":"10.1038/s41564-020-00807-6","title":"Crowdsourcing virtual summer research opportunities to support minorities in microbiology","year":2020,"lang":"en","type":"article","venue":"Nature Microbiology","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Centre for Disease Control","funders":"BIO5 Institute, University of Arizona; British Columbia Centre for Disease Control; Frances McClelland Institute for Children, Youth, and Families; Bill and Melinda Gates Foundation","keywords":"Underrepresented Minority; Undergraduate research; Coronavirus disease 2019 (COVID-19); Crowdsourcing; Medical education; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Microbiology; Political science; Biology; Internal medicine; Virology; Infectious disease (medical specialty)","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":[0.0003146862,0.0001854617,0.0002803838,0.0003374133,0.00004253206,0.00001869889,0.0003031859,0.0006750343,0.000233385],"category_scores_gemma":[0.0001452963,0.0001804148,0.00004260506,0.0003514572,0.000148343,0.00004998112,0.00009967008,0.001279862,0.0002044584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130723,"about_ca_system_score_gemma":0.00006452431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002177825,"about_ca_topic_score_gemma":0.00005793101,"domain_scores_codex":[0.9987028,0.00007752374,0.0002713352,0.0002979275,0.00004594387,0.0006045213],"domain_scores_gemma":[0.9994136,0.0001728112,0.00001188355,0.000148008,0.00006495921,0.0001887087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000254427,0.00002066441,0.0003002206,0.0001482022,0.00002522616,0.00003193202,0.001948422,0.000374865,0.8147885,0.0004318256,0.1787657,0.003138958],"study_design_scores_gemma":[0.0003788829,0.0003480003,0.0005036751,0.00005066751,0.00000574955,0.00008870289,0.00120102,0.0001713437,0.0370639,0.00002475151,0.9597837,0.0003795511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847928,0.001492317,0.0003614648,0.008625011,0.002504746,0.000245149,0.0001531771,0.0003152346,0.001510045],"genre_scores_gemma":[0.9962534,0.00006861261,0.0004073457,0.002091243,0.0004838357,0.00002681006,0.0002672852,0.00003485505,0.0003666129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.781018,"threshold_uncertainty_score":0.7357104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06601382557604228,"score_gpt":0.3024705052645221,"score_spread":0.2364566796884798,"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."}}