{"id":"W3088557047","doi":"10.5281/zenodo.4042834","title":"The ELIXIR-Greece Galaxy server including best practices tools and workflows for the analysis of SARS-CoV-2 data","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fleming College","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Elixir (programming language); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Workflow; 2019-20 coronavirus outbreak; World Wide Web; Virology; Database; Biology; Medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004030439,0.002461443,0.001901451,0.003915028,0.0009770929,0.004368172,0.003570246,0.001643074,0.03819204],"category_scores_gemma":[0.006899835,0.001619754,0.001803381,0.002965487,0.0007345925,0.002481879,0.004447436,0.002125633,0.08698175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304089,"about_ca_system_score_gemma":0.002483842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006527739,"about_ca_topic_score_gemma":0.00509007,"domain_scores_codex":[0.9974559,0.0004701113,0.0003575016,0.0006808784,0.000669724,0.0003658796],"domain_scores_gemma":[0.9962642,0.0005745325,0.0002526783,0.001756884,0.0006413045,0.0005103652],"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":[0.00277254,0.0002673467,0.007426621,0.002134927,0.000551933,0.001132042,0.001700313,0.0017018,0.03969132,0.006567356,0.7892332,0.1468206],"study_design_scores_gemma":[0.0005504618,0.0001863576,0.01481032,0.0004259565,0.0001781234,0.001387455,0.000454618,0.01290896,0.04189041,0.01006132,0.9167315,0.0004144667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.008019704,0.001150222,0.1153657,0.0007047009,0.0002425924,0.0006282093,0.09287217,0.7638534,0.01716332],"genre_scores_gemma":[0.05674109,0.001378876,0.2396549,0.001432334,0.0001946342,0.001902276,0.5100713,0.1653271,0.02329745],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03819204,"threshold_uncertainty_score":0.1277651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3635031653872332,"score_gpt":0.4054358034033549,"score_spread":0.04193263801612174,"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."}}