{"id":"W6976926520","doi":"10.6084/m9.figshare.17030802","title":"Additional file 2 of Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Receiver operating characteristic; Intensive care; Centrifuge; Transmission (telecommunications); Metagenomics; WIMP","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":[0.002368586,0.001073912,0.001340428,0.001888979,0.0008929911,0.001930315,0.00191169,0.001583409,0.8714169],"category_scores_gemma":[0.03944032,0.0005643731,0.001188762,0.002407837,0.0002942182,0.001855271,0.001182761,0.0008916687,0.1232695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029394,"about_ca_system_score_gemma":0.001934341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007734363,"about_ca_topic_score_gemma":0.01385942,"domain_scores_codex":[0.9990747,0.0001828949,0.0001548841,0.0002279095,0.0002388475,0.0001208394],"domain_scores_gemma":[0.9732184,0.02132309,0.001266858,0.001266985,0.002332985,0.0005916985],"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":[0.0007122437,0.0001284952,0.004975155,0.005765786,0.0001158488,0.0001139652,0.00007926898,0.0007705051,0.0001868038,0.0008592036,0.974447,0.0118457],"study_design_scores_gemma":[0.01776457,0.0007824211,0.07182764,0.01148718,0.0007411538,0.001203086,0.0009672462,0.007551432,0.002187288,0.02174426,0.8633619,0.000381789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002171743,0.0000189669,0.0002956833,0.0001114444,0.00002516908,0.00009120582,0.9983051,0.0003039614,0.000631261],"genre_scores_gemma":[0.01875061,0.0002226161,0.008007525,0.001250247,0.000229196,0.003313162,0.9522931,0.001818993,0.01411447],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8714169,"threshold_uncertainty_score":0.1834081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302689567825514,"score_gpt":0.3298471261874504,"score_spread":0.2768202305091952,"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."}}