{"id":"W6889120482","doi":"10.25384/sage.21862306","title":"sj-docx-2-cjk-10.1177_20543581221145073 – Supplemental material for Risk Factors of AKI in Acute Respiratory Distress Syndrome: A Time-Dependent Competing Risk Analysis on Severe COVID-19 Patients","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acute respiratory distress; Acute kidney injury; Respiratory distress; Disease; Distress; Kidney disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002476275,0.0009246868,0.001517409,0.003270073,0.0009015743,0.003523055,0.00268536,0.002391829,0.8862152],"category_scores_gemma":[0.04474238,0.001193298,0.001559482,0.004079597,0.0003449257,0.002019923,0.001537496,0.002025959,0.348674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359588,"about_ca_system_score_gemma":0.003682298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821226,"about_ca_topic_score_gemma":0.03247518,"domain_scores_codex":[0.9982129,0.0002741275,0.0003721054,0.0002803003,0.0005144858,0.0003459725],"domain_scores_gemma":[0.9656546,0.020053,0.002982845,0.002587469,0.006225056,0.002496907],"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":[0.0003651742,0.00007994936,0.002941662,0.0007453802,0.00006059092,0.00004396148,0.00002481075,0.0001267288,0.00007871804,0.0004118423,0.9896997,0.005421663],"study_design_scores_gemma":[0.007301163,0.0005257976,0.09026653,0.003633721,0.0004033681,0.0009112843,0.0005375206,0.002279236,0.001201388,0.007062432,0.8856211,0.0002564739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000715162,0.00008293247,0.0003408925,0.0007308233,0.0002456109,0.0002018261,0.9918944,0.0007683057,0.005020017],"genre_scores_gemma":[0.01456982,0.0003244068,0.004184387,0.002273737,0.0008872927,0.001905548,0.919796,0.002361342,0.05369739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8862152,"threshold_uncertainty_score":0.1623003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07895549219720704,"score_gpt":0.4380858066809476,"score_spread":0.3591303144837406,"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."}}