{"id":"W4394136364","doi":"10.6084/m9.figshare.24077004","title":"Additional file 1 of Blood virome of patients with traumatic sepsis","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Human virome; Sepsis; Medicine; Computer science; Biology; Internal medicine; Genetics; Gene; Metagenomics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001283628,0.001181863,0.001315351,0.002103514,0.0007271087,0.001896025,0.001481035,0.001423787,0.4985084],"category_scores_gemma":[0.01294178,0.0005242707,0.001104151,0.003504852,0.0003117328,0.001034846,0.001196481,0.001116217,0.1174647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008996414,"about_ca_system_score_gemma":0.001863583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007109069,"about_ca_topic_score_gemma":0.0113913,"domain_scores_codex":[0.9992751,0.0001269033,0.0001062267,0.000281255,0.0001014531,0.0001090055],"domain_scores_gemma":[0.9936351,0.00419913,0.0004680636,0.0006396875,0.0007562128,0.0003018104],"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":[0.0003374707,0.0000574946,0.003102199,0.001976174,0.00009215921,0.00004793515,0.00003959253,0.0003582429,0.0001954508,0.0004633332,0.9891561,0.0041738],"study_design_scores_gemma":[0.003171899,0.0001974164,0.03002805,0.001800579,0.0003292833,0.0004692726,0.0001991385,0.001084304,0.00105546,0.005675971,0.9558963,0.00009235698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008075136,0.00001818146,0.00003856672,0.00002212701,0.000006599411,0.00001124152,0.999603,0.00005813053,0.0001614942],"genre_scores_gemma":[0.001213546,0.00004620526,0.0003804244,0.0001085459,0.00001613367,0.000218407,0.9969893,0.00008641966,0.0009410626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4985084,"threshold_uncertainty_score":0.7153169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0725764957857105,"score_gpt":0.2896789988704775,"score_spread":0.217102503084767,"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."}}