{"id":"W4321638504","doi":"10.2196/preprints.40672","title":"A Comprehensive and Improved Definition for Hospital-Acquired Pressure Injury Classification Based on Electronic Health Records: Comparative Study (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Medicaid; Preprint; Quality (philosophy); Electronic health record; Benchmark (surveying); Health records; Health care; Medicine; World Wide Web; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.03542038,0.0004225542,0.0004770085,0.004161724,0.0005013993,0.002051223,0.001004881,0.0008321802,0.002897077],"category_scores_gemma":[0.07423537,0.0002502612,0.001266846,0.005848377,0.0006052252,0.003438903,0.002335346,0.00084631,0.0006718397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981201,"about_ca_system_score_gemma":0.00232763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007633792,"about_ca_topic_score_gemma":0.007917671,"domain_scores_codex":[0.9823202,0.01110488,0.002573802,0.00108375,0.002375368,0.0005420098],"domain_scores_gemma":[0.9292172,0.0362587,0.00714009,0.005198926,0.02108699,0.00109812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001161806,0.0009380852,0.8934808,0.001087654,0.0005857748,0.0001671143,0.003260992,0.0004555137,0.0005763825,0.00157511,0.006479899,0.09023088],"study_design_scores_gemma":[0.00009782822,0.001673855,0.9809384,0.000553236,0.0005172073,0.0004866193,0.005745025,0.001924707,0.0005256167,0.0002774835,0.007202365,0.00005761114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767452,0.002523028,0.008323277,0.001361373,0.0002272649,0.001213136,0.005494215,0.00006049538,0.004051972],"genre_scores_gemma":[0.9690597,0.001009777,0.02082155,0.0004524149,0.0001919203,0.001067859,0.006916903,0.00002885501,0.0004511174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03542038,"threshold_uncertainty_score":0.1873231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221325472978476,"score_gpt":0.4361738500203163,"score_spread":0.3140413027224687,"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."}}