{"id":"W4394517876","doi":"10.6084/m9.figshare.24077007","title":"Additional file 2 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; Biology; Computer science; Computational biology; Genetics; Internal medicine; Metagenomics; Gene","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":[0.000847836,0.001204725,0.001263819,0.002043366,0.0006119174,0.00177216,0.00141689,0.001621167,0.448375],"category_scores_gemma":[0.01112536,0.0004493805,0.001184295,0.003018116,0.0002802858,0.001010283,0.001176072,0.00114876,0.08990895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007808827,"about_ca_system_score_gemma":0.001620716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007066797,"about_ca_topic_score_gemma":0.01236754,"domain_scores_codex":[0.9995064,0.00007567021,0.00008345756,0.0001771877,0.00007553134,0.00008183078],"domain_scores_gemma":[0.995181,0.003265812,0.0003785291,0.0003858645,0.0005444569,0.000244243],"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":[0.0003439251,0.00005993848,0.003086911,0.003102166,0.0001082778,0.00007903554,0.00004337809,0.0004697211,0.000218235,0.0005345314,0.9877477,0.004206272],"study_design_scores_gemma":[0.00331125,0.0001884519,0.02531524,0.002751067,0.0003886032,0.0006455398,0.0002053544,0.001371938,0.0009511064,0.006098981,0.9586745,0.00009787765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008746426,0.00002394291,0.00002985842,0.00002997768,0.000008015589,0.000009508748,0.9995757,0.0000634417,0.0001719899],"genre_scores_gemma":[0.001433392,0.00006700726,0.0003583785,0.0001325546,0.00001850881,0.0001657657,0.9968908,0.00008629698,0.000847218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.448375,"threshold_uncertainty_score":0.7868261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06960545964447205,"score_gpt":0.2889477699004813,"score_spread":0.2193423102560092,"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."}}