{"id":"W4323048374","doi":"10.1186/s13054-023-04333-9","title":"Association of early mobility with the incidence of deep-vein thrombosis and mortality among critically ill patients: a post hoc analysis of PREVENT trial","year":2023,"lang":"en","type":"article","venue":"Critical Care","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Deep vein; Post-hoc analysis; Thrombosis; Incidence (geometry); Clinical endpoint; Venous thrombosis; Internal medicine; Clinical trial","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003426835,0.0001052048,0.0005486238,0.00009038326,0.00003806276,0.000009408439,0.00006210091,0.0000843382,0.00005365476],"category_scores_gemma":[0.004733888,0.00006626664,0.0002015184,0.0006004657,0.0003095656,0.00006397429,0.0000492997,0.00008294854,5.224173e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009954921,"about_ca_system_score_gemma":0.00004727357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005374568,"about_ca_topic_score_gemma":0.0007215963,"domain_scores_codex":[0.9984556,0.0001529125,0.0004011189,0.0002284679,0.0005998067,0.0001621385],"domain_scores_gemma":[0.9945566,0.00113327,0.000104229,0.0003033877,0.003813423,0.00008907269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007140785,0.0008701577,0.9952331,0.0002773097,0.0009356706,0.00000207242,0.001463513,0.000004162584,0.00004489562,0.0001668822,0.00002796841,0.000260202],"study_design_scores_gemma":[0.00328232,0.002848241,0.9844275,0.00008574309,0.005687546,5.029788e-8,0.00272498,0.00007208921,0.0007671099,0.00004690923,9.137985e-7,0.00005664012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977099,0.000108216,0.00001424769,0.001275365,0.00002800908,0.000560921,0.0002207325,0.00001219623,0.00007038062],"genre_scores_gemma":[0.9995793,0.0000205972,0.00005504124,0.0001818098,0.00001300763,0.0000720687,0.00006833344,0.000007212319,0.000002707268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01080563,"threshold_uncertainty_score":0.5667248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884201436324903,"score_gpt":0.3725815100262355,"score_spread":0.3237394956629865,"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."}}