{"id":"W7117233790","doi":"10.62111/ybhd.1749992","title":"Evaluation of the Effectiveness of Deep Learning Model in Detection and Classification of Pressure Injury","year":2025,"lang":"tr","type":"article","venue":"Yoğun Bakım Hemşireliği Dergisi","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Randomized controlled trial; Vocational education; Test (biology); Sample (material); Population; Statistical significance","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":[0.004672584,0.0007264675,0.001482787,0.0004219577,0.0002324292,0.0006984583,0.0006785364,0.000939515,0.001251363],"category_scores_gemma":[0.008342746,0.0002508161,0.0009430606,0.000228837,0.0002660537,0.0008533498,0.0004360126,0.0008340071,0.000104595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006353084,"about_ca_system_score_gemma":0.001020444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00266182,"about_ca_topic_score_gemma":0.0014411,"domain_scores_codex":[0.9987827,0.0006854146,0.0001018919,0.0001603339,0.0001493203,0.0001203083],"domain_scores_gemma":[0.9958755,0.003046523,0.000266444,0.0001209822,0.0004952104,0.0001954476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.07741103,0.02460537,0.09278554,0.002014954,0.002416467,0.0002110618,0.0003037401,0.1456817,0.008398269,0.0005056771,0.002476898,0.6431893],"study_design_scores_gemma":[0.004043783,0.06103949,0.03344014,0.0003177435,0.002301688,0.0001660719,0.0002536695,0.8885467,0.008292309,0.0006775153,0.0008578034,0.00006304056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781424,0.005137587,0.01386083,0.0005740589,0.0002097471,0.0004381236,0.0001415962,0.0001614905,0.001334076],"genre_scores_gemma":[0.992534,0.0008340237,0.005848307,0.0001256234,0.00004203274,0.0001732805,0.0001154601,0.000007034384,0.0003202274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004672584,"threshold_uncertainty_score":0.02471131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03828365335874117,"score_gpt":0.3881770386873638,"score_spread":0.3498933853286226,"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."}}