{"id":"W6958459689","doi":"10.6084/m9.figshare.26604703.v1","title":"Additional file 1 of Development and characterization of a fecal-induced peritonitis model of murine sepsis: results from a multi-laboratory study and iterative modification of experimental conditions","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University; University of Alberta; University of Calgary; McMaster University; University of Manitoba; Ottawa Hospital; University of Ottawa; Thrombosis and Atherosclerosis Research Institute","funders":"","keywords":"Peritonitis; Characterization (materials science); Experimental data; Iterative and incremental development","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":[0.002747108,0.001108798,0.001415395,0.002640374,0.001027549,0.001853897,0.002217597,0.001193219,0.8658105],"category_scores_gemma":[0.02453148,0.0006913412,0.00101558,0.003546839,0.0004048119,0.001576163,0.00115932,0.001279309,0.2050393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017147,"about_ca_system_score_gemma":0.002427521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003890307,"about_ca_topic_score_gemma":0.005951608,"domain_scores_codex":[0.9988894,0.0002265603,0.0001922551,0.0002438446,0.0003207264,0.0001272344],"domain_scores_gemma":[0.9749429,0.01851372,0.0009626469,0.001733232,0.003131714,0.0007157436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007041725,0.0002259774,0.001778569,0.003483258,0.00005756229,0.0001150552,0.0000761077,0.0006611632,0.0008274489,0.0008830765,0.9759403,0.01524723],"study_design_scores_gemma":[0.005647667,0.0008253718,0.02506024,0.003427599,0.000341099,0.001102328,0.0004744482,0.003418035,0.005568131,0.01219654,0.9416776,0.0002609706],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000244576,0.00003503291,0.0009990954,0.0001137366,0.00004953925,0.0001483547,0.9967363,0.0006771383,0.0009962254],"genre_scores_gemma":[0.008173977,0.0002452894,0.008457647,0.0005490269,0.0001154135,0.002852927,0.9680641,0.001682147,0.00985952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8658105,"threshold_uncertainty_score":0.1914049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471583245647075,"score_gpt":0.3482847997963905,"score_spread":0.2011264752316831,"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."}}