{"id":"W6964110126","doi":"10.25384/sage.21862312","title":"sj-jpg-4-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":"other","venue":"Sage Journals Data","topic":"","field":"","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":[0.002123666,0.0005873663,0.0009579923,0.001740649,0.0006815204,0.00220318,0.001875352,0.001697623,0.629584],"category_scores_gemma":[0.02119497,0.0006257423,0.001053731,0.002438082,0.000215233,0.0009167761,0.001105884,0.001615622,0.1580144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009334094,"about_ca_system_score_gemma":0.002740788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01431474,"about_ca_topic_score_gemma":0.02506997,"domain_scores_codex":[0.9987798,0.0002639011,0.0001706292,0.0001782815,0.0004150181,0.0001922959],"domain_scores_gemma":[0.9863178,0.007308105,0.001356085,0.001155262,0.002306024,0.001556819],"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":[0.001113786,0.000158882,0.01321933,0.0003967334,0.0001412921,0.0001198563,0.00003353408,0.0003725222,0.0002385148,0.0009318608,0.9676574,0.01561625],"study_design_scores_gemma":[0.005716954,0.0008394651,0.1655903,0.001550941,0.0005175169,0.001520706,0.00030562,0.005266416,0.001736681,0.00770788,0.8090581,0.0001894659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004368498,0.0002996991,0.001552504,0.001951068,0.0004531298,0.000313184,0.9727284,0.001402669,0.01693098],"genre_scores_gemma":[0.03421011,0.000478772,0.006675922,0.00188199,0.0008740709,0.001132112,0.8888257,0.001934952,0.06398641],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.629584,"threshold_uncertainty_score":0.5283535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03866716663732256,"score_gpt":0.3371636631983493,"score_spread":0.2984964965610267,"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."}}