{"id":"W6920625039","doi":"10.6084/m9.figshare.13710982","title":"Additional file 1 of Data analytics and clinical feature ranking of medical records of patients with sepsis","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Feature (linguistics); Ranking (information retrieval); Medical record; Analytics; Data analysis; Patient data; Sepsis","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":[0.002552423,0.0009403214,0.0009157983,0.003209296,0.0006412608,0.001743529,0.001338735,0.0009626577,0.7501958],"category_scores_gemma":[0.04631596,0.000400125,0.0007929598,0.004343922,0.0002473989,0.00123668,0.001095749,0.0009810691,0.08737207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053718,"about_ca_system_score_gemma":0.002720787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005074492,"about_ca_topic_score_gemma":0.008834001,"domain_scores_codex":[0.9985642,0.0002804468,0.0003748493,0.0003495757,0.0003067144,0.0001241824],"domain_scores_gemma":[0.9520769,0.03845653,0.002558532,0.001942791,0.004252845,0.000712421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006143571,0.0002090893,0.006483923,0.004693405,0.0001105798,0.0001264872,0.0001013531,0.0007475578,0.0003783072,0.0009337102,0.9662547,0.01934647],"study_design_scores_gemma":[0.004654472,0.0005671756,0.05252662,0.004992498,0.0004096958,0.001067245,0.000767236,0.005415296,0.002832332,0.0129196,0.9136309,0.000216987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002997224,0.00001924746,0.0003282546,0.00007776724,0.00001850544,0.00008865473,0.9985666,0.0002234628,0.0003777312],"genre_scores_gemma":[0.008815113,0.0001186567,0.005756344,0.0004092136,0.0001061714,0.001873721,0.9790137,0.0004564933,0.003450625],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7501958,"threshold_uncertainty_score":0.3563154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1863376227685072,"score_gpt":0.4227239265858418,"score_spread":0.2363863038173346,"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."}}