{"id":"W4403510054","doi":"10.1186/s12882-024-03805-6","title":"Structural equation modeling analysis of factors influencing decisional conflict between dialysis modality among end-stage kidney disease patients in Wuhan","year":2024,"lang":"en","type":"article","venue":"BMC Nephrology","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tongji Medical College, Huazhong University of Science and Technology; Tongji University; Huazhong University of Science and Technology","keywords":"Medicine; Nephrology; Stage (stratigraphy); Dialysis; Internal medicine; End stage renal disease; Modality (human–computer interaction); Structural equation modeling; Kidney disease; Disease; End-stage kidney disease; Intensive care medicine; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.006829623,0.00151004,0.001540613,0.002913296,0.001347401,0.001452005,0.00173625,0.0009558771,0.004071669],"category_scores_gemma":[0.01547975,0.0008308981,0.003536152,0.002288754,0.0003999923,0.0008259655,0.001735208,0.002104395,0.000293691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002832751,"about_ca_system_score_gemma":0.006853624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05729849,"about_ca_topic_score_gemma":0.03275584,"domain_scores_codex":[0.9954971,0.002981697,0.0002258624,0.0004905003,0.0003271186,0.0004777971],"domain_scores_gemma":[0.9936134,0.004349552,0.0007984672,0.0001983562,0.0006578663,0.0003823227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002239377,0.0007190403,0.9586538,0.0001160227,0.001563067,0.000425345,0.00291246,0.01728447,0.0001686103,0.002602061,0.001920633,0.01341061],"study_design_scores_gemma":[0.0002303217,0.0008970905,0.4556641,0.000300973,0.00088698,0.0003412081,0.006347453,0.5276957,0.0001965612,0.005074533,0.002265525,0.00009958626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902464,0.0002577007,0.006515574,0.001148921,0.00005612243,0.0002196144,0.0008570795,0.00005171675,0.000646981],"genre_scores_gemma":[0.9910138,0.0002180634,0.006445452,0.0000854075,0.00002740704,0.0004543069,0.001145552,0.00001231521,0.0005976845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05729849,"threshold_uncertainty_score":0.1139299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2499133750229444,"score_gpt":0.4261129783295379,"score_spread":0.1761996033065935,"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."}}