{"id":"W6926687465","doi":"10.25384/sage.20069681","title":"sj-docx-1-cjk-10.1177_20543581221103100 – Supplemental material for Visuospatial and Executive Dysfunction in Patients With Acute Kidney Injury, Chronic Kidney Disease, and Kidney Failure: A Multilevel Modeling Analysis","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kidney disease; Kidney; Executive dysfunction; Multilevel model; Executive summary","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001076735,0.0004479054,0.000669623,0.000925854,0.0006921478,0.0009094268,0.001828578,0.00006444677,0.005038454],"category_scores_gemma":[0.0002105546,0.0004071234,0.000112561,0.001288811,0.00008023068,0.003203814,0.003642895,0.0003644439,0.000003043551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573315,"about_ca_system_score_gemma":0.0007790467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004005923,"about_ca_topic_score_gemma":0.0001255794,"domain_scores_codex":[0.9957164,0.0003141595,0.0008166129,0.001421734,0.001036632,0.0006944458],"domain_scores_gemma":[0.9965798,0.0000467468,0.0005036495,0.001582234,0.0001516213,0.001135963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009365381,0.002975264,0.2354832,0.0003767331,0.01727757,0.0003936919,0.002675096,0.004571414,0.00289489,0.0001140591,0.6545933,0.06927938],"study_design_scores_gemma":[0.007355513,0.0006559177,0.009770441,0.0001571159,0.002392987,0.00001448924,0.00008135385,0.965073,0.00007580619,0.000158771,0.01353403,0.000730586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06641846,0.0002204034,0.5649384,0.003189156,0.0004888189,0.001519506,0.3631271,0.00009104786,0.000007057065],"genre_scores_gemma":[0.849707,0.0003633096,0.02551782,0.001884794,0.0003315585,0.0003126763,0.1216567,0.00008506153,0.000141059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9605016,"threshold_uncertainty_score":0.9998381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499830949131111,"score_gpt":0.2709993716685701,"score_spread":0.256001062177259,"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."}}