{"id":"W4392628349","doi":"10.2196/51842","title":"Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Medicine; Computer science; Medical emergency; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02136996,0.001187524,0.000976858,0.00111337,0.0004240007,0.001173508,0.001543845,0.001073853,0.001192627],"category_scores_gemma":[0.02743053,0.0004969908,0.001224576,0.000718217,0.0004929657,0.0009232665,0.001379751,0.00199734,0.0002855095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593842,"about_ca_system_score_gemma":0.003333567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01535584,"about_ca_topic_score_gemma":0.01020254,"domain_scores_codex":[0.9968065,0.002063903,0.0002302382,0.0004848888,0.0002510468,0.000163392],"domain_scores_gemma":[0.9797918,0.01609306,0.001233938,0.0006501814,0.001891689,0.0003392479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000566681,0.0009301411,0.1354986,0.0001937025,0.0006332615,0.0002201083,0.0002058377,0.8064643,0.0005731105,0.001086041,0.002132603,0.05149568],"study_design_scores_gemma":[0.00005658839,0.0002235674,0.005103469,0.00003180851,0.00005364158,0.00002529209,0.00002976251,0.9932805,0.0002622701,0.0006871848,0.000234885,0.00001100766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7596571,0.000849026,0.2325634,0.001744088,0.00009506014,0.0008660278,0.00193773,0.0009064646,0.001381139],"genre_scores_gemma":[0.917256,0.0002825673,0.07904901,0.0002094664,0.00004208215,0.0007308249,0.001958536,0.00003509787,0.0004364201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02136996,"threshold_uncertainty_score":0.1130165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02879918441466576,"score_gpt":0.3861523892733785,"score_spread":0.3573532048587127,"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."}}