{"id":"W3034111647","doi":"10.1186/s12967-020-02405-w","title":"COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection","year":2020,"lang":"en","type":"article","venue":"Journal of Translational Medicine","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Horizon 2020 Framework Programme; Ministero della Salute; National Institute for Health and Care Research","keywords":"Interactome; Glycoprotein; Computational biology; Virology; Biology; Coronavirus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Host (biology); Medicine; Coronavirus disease 2019 (COVID-19); Gene; Genetics; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000535486,0.0001542939,0.0003552282,0.00009242073,0.00005229954,0.000008440024,0.0001750417,0.0000722992,0.0000176842],"category_scores_gemma":[0.0002528727,0.0001181957,0.0001360312,0.0002462962,0.0000281628,0.00001631358,0.00002160898,0.0001267393,5.057902e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001523839,"about_ca_system_score_gemma":0.0001686076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001631021,"about_ca_topic_score_gemma":0.000002865253,"domain_scores_codex":[0.9985365,0.00007196551,0.0007861426,0.0001400433,0.0003370307,0.0001283669],"domain_scores_gemma":[0.9990769,0.00003000442,0.0003838607,0.000110542,0.0002047111,0.0001939724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001282449,0.000359306,0.00790975,0.0001080802,0.0003287131,0.000002482775,0.001135854,0.1553262,0.8259355,0.00001772308,0.006811738,0.0007822086],"study_design_scores_gemma":[0.03085733,0.0253586,0.0429907,0.0002849052,0.001802832,0.0002359334,0.001642719,0.7467513,0.125822,0.0004299909,0.02241259,0.001411056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6442887,0.0005194151,0.3514851,0.003288602,0.00005350676,0.0002351678,0.00002508562,0.000003460589,0.0001010075],"genre_scores_gemma":[0.9898374,0.00005174203,0.006471441,0.003230065,0.0003030147,0.000005450331,0.00008201278,0.00001462789,0.000004259422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7001135,"threshold_uncertainty_score":0.4819881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05348335052204881,"score_gpt":0.3204610933047156,"score_spread":0.2669777427826668,"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."}}