{"id":"W3020014849","doi":"10.1038/s43018-020-0065-z","title":"Crowdsourcing a crisis response for COVID-19 in oncology","year":2020,"lang":"en","type":"article","venue":"Nature Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Broad Institute; University of Washington; Leonard M. Miller School of Medicine, University of Miami; University of Connecticut; Sylvester Comprehensive Cancer Center, University of Miami Health Systems; University of Miami; Leonard M. Miller School of Medicine; Aurora Research Institute; Vanderbilt University","keywords":"Crowdsourcing; Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Key (lock); Cancer; Medicine; Political science; Data science; Virology; Biology; Internal medicine; Computer science; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005067617,0.0001216777,0.0003573561,0.0001402771,0.00005944216,0.000008404358,0.00008148744,0.0004884704,0.0002321649],"category_scores_gemma":[0.006794412,0.000107006,0.00008744567,0.000399128,0.00002491166,0.0000388598,0.00002641346,0.0008089009,0.000006814806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792875,"about_ca_system_score_gemma":0.004906409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006593867,"about_ca_topic_score_gemma":0.001230746,"domain_scores_codex":[0.9988608,0.00009851209,0.0002204045,0.0003211796,0.0001661742,0.0003328746],"domain_scores_gemma":[0.9981735,0.0008388304,0.0000674817,0.0001561989,0.0001071492,0.0006568184],"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":[0.0745218,0.0001514308,0.0414057,0.002795653,0.00009660354,0.0007247793,0.02231559,0.0002910405,0.01651706,0.000359274,0.8153024,0.02551864],"study_design_scores_gemma":[0.003980035,0.0007237386,0.02372098,0.00007010113,0.00004252483,0.00001348701,0.0005696001,0.0002306025,0.0007842634,0.00009598154,0.9696528,0.000115897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2219412,0.005557138,0.000518461,0.7705537,0.0003168875,0.0008301748,0.0000671847,0.00008707451,0.0001281958],"genre_scores_gemma":[0.6561779,0.0001130065,0.0003283202,0.3426747,0.0004921515,0.00008820977,0.000006064921,0.0000173798,0.0001022505],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4342367,"threshold_uncertainty_score":0.8703759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12530505487636,"score_gpt":0.5204673066010462,"score_spread":0.3951622517246862,"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."}}