{"id":"W6930160308","doi":"10.5281/zenodo.11402643","title":"SwanHubX/SwanLab: v0.3.7","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada)","funders":"","keywords":"Chart; Test (biology); Relation (database); Interchangeability","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":[0.002935411,0.005627174,0.001706615,0.002214184,0.001382264,0.005354931,0.007249169,0.00322682,0.4402481],"category_scores_gemma":[0.01246853,0.003664072,0.002345701,0.001236204,0.00113751,0.008058804,0.005940388,0.004914205,0.571861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999162,"about_ca_system_score_gemma":0.001854498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007277538,"about_ca_topic_score_gemma":0.006327905,"domain_scores_codex":[0.9968212,0.0003695468,0.0002618321,0.000562217,0.001442355,0.0005428889],"domain_scores_gemma":[0.9946033,0.0005394118,0.0001954781,0.001971066,0.002261194,0.0004294955],"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":[0.0002962993,0.00004618729,0.0004727416,0.0003408849,0.00003579726,0.00008769539,0.0001081544,0.0002485827,0.002115471,0.001243127,0.9689165,0.02608865],"study_design_scores_gemma":[0.0001794502,0.00007536824,0.0009009621,0.0001886722,0.00004016168,0.0002288609,0.00005893422,0.001843949,0.01372509,0.002597953,0.9800314,0.000129301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007608974,0.0004660048,0.02293197,0.000491623,0.0006579296,0.0002138543,0.01406292,0.9233873,0.03702754],"genre_scores_gemma":[0.01492494,0.0005932485,0.02547864,0.002269824,0.0002352304,0.0007474722,0.06972459,0.767825,0.118201],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4402481,"threshold_uncertainty_score":0.7984182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02875697175374522,"score_gpt":0.2783441629042827,"score_spread":0.2495871911505374,"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."}}