{"id":"W6958488811","doi":"10.6084/m9.figshare.22623365.v1","title":"Additional file 1 of 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":"Figshare","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Post-hoc analysis; Critically ill; Incidence (geometry); Post hoc; Thrombosis; Association (psychology)","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":[0.003205166,0.00163344,0.002264465,0.001770358,0.0009324983,0.001749465,0.001836764,0.001350658,0.7798927],"category_scores_gemma":[0.05201184,0.0007662713,0.002438736,0.002819639,0.0003219248,0.002028011,0.0009045161,0.00164065,0.04905764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009971481,"about_ca_system_score_gemma":0.002245571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005213224,"about_ca_topic_score_gemma":0.008598345,"domain_scores_codex":[0.9982461,0.0006021376,0.000261076,0.0003222377,0.0002716116,0.0002969771],"domain_scores_gemma":[0.948769,0.04331275,0.002923703,0.001749013,0.002488415,0.0007570849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.006174226,0.0002853528,0.008169811,0.01489666,0.001242573,0.0001341435,0.0001387069,0.001365182,0.0001460898,0.001928568,0.9544025,0.0111162],"study_design_scores_gemma":[0.2166876,0.006456019,0.1893816,0.02485654,0.00836833,0.001982131,0.001267753,0.01954054,0.001547296,0.04031626,0.4888598,0.000736175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001203064,0.0001537066,0.0005066267,0.0002569562,0.00009076323,0.0005954357,0.9949568,0.0002018789,0.002034798],"genre_scores_gemma":[0.1103782,0.0009875532,0.01250398,0.003398857,0.001169904,0.03620294,0.7791097,0.001613272,0.05463575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7798927,"threshold_uncertainty_score":0.3139563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535037702140989,"score_gpt":0.3258901029079432,"score_spread":0.2705397258865333,"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."}}