{"id":"W3093657035","doi":"10.7717/peerj.10261","title":"Computerized monitoring of COVID-19 trials, studies and registries in ClinicalTrials.gov registry","year":2020,"lang":"en","type":"article","venue":"PeerJ","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institutes of Health; Lister Hill National Center for Biomedical Communications","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Clinical trial; Betacoronavirus; MEDLINE; Intensive care medicine; Virology; Internal medicine; Outbreak; Infectious disease (medical specialty); Biology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002497678,0.0001791201,0.001595895,0.0000971567,0.00005047891,0.00002285011,0.0001265124,0.0001215977,0.00001513827],"category_scores_gemma":[0.06919239,0.0001568704,0.0001497755,0.0003214127,0.0002743642,0.00005210763,0.0001671395,0.0002422752,0.000004899174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337187,"about_ca_system_score_gemma":0.0004384407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002020788,"about_ca_topic_score_gemma":0.000006127287,"domain_scores_codex":[0.9975371,0.0003756151,0.001132706,0.0004273178,0.0003290588,0.0001981599],"domain_scores_gemma":[0.9915493,0.007043384,0.0005359199,0.0003834711,0.0001404393,0.0003475211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01255793,0.0006558441,0.6252453,0.01318728,0.00118824,0.0009411451,0.01532849,0.0003516522,0.02377134,0.0004565483,0.2920243,0.01429183],"study_design_scores_gemma":[0.06943716,0.00293723,0.1264504,0.004388501,0.001608822,0.00007648474,0.008390429,0.0008713328,0.02344016,0.001717856,0.7595201,0.001161485],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6650913,0.008615777,0.0004455997,0.3243043,0.0006248067,0.0007252672,0.00002661975,0.0001452003,0.00002110323],"genre_scores_gemma":[0.9731632,0.004598008,0.006244355,0.01435513,0.001420489,0.00004114435,0.00001131787,0.0000323537,0.0001339591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4987949,"threshold_uncertainty_score":0.9386482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3952706632404356,"score_gpt":0.4982625845876131,"score_spread":0.1029919213471775,"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."}}