{"id":"W3127726773","doi":"10.2196/25704","title":"Using Machine Learning Technologies in Pressure Injury Management: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Project 211; National Natural Science Foundation of China","keywords":"CINAHL; Cochrane Library; MEDLINE; Data extraction; Systematic review; Medicine; Critical appraisal; Grey literature; Strengths and weaknesses; Computer science; Artificial intelligence; Meta-analysis; Nursing; Psychological intervention; Psychology; Pathology; Alternative 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003818531,0.0005587739,0.004067041,0.0006188877,0.0002950185,0.0000316882,0.001124026,0.001031756,0.001247197],"category_scores_gemma":[0.001193641,0.0004066189,0.0004612602,0.001111159,0.00007592455,0.000233118,0.002199997,0.003629756,0.0004044357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254824,"about_ca_system_score_gemma":0.0003799865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000104786,"about_ca_topic_score_gemma":0.00001414422,"domain_scores_codex":[0.9915997,0.001900503,0.004311359,0.0002721472,0.001214393,0.0007019381],"domain_scores_gemma":[0.9963068,0.000394756,0.00205719,0.0009809603,0.00009424015,0.0001660663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[6.867676e-7,0.00004612497,0.000001733751,0.9120456,0.0004002331,0.00004088636,0.0002904718,3.829616e-7,6.114689e-10,0.001675776,0.004713892,0.08078423],"study_design_scores_gemma":[0.0001248905,0.000006131994,3.676031e-8,0.4910381,0.001503775,0.000007428645,0.0009594617,0.0003904223,3.976708e-9,0.00001758314,0.5057631,0.000189127],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.942774e-8,0.977273,0.0006552537,0.00008895354,0.0004045432,0.01092848,0.00002491153,0.0004590829,0.01016566],"genre_scores_gemma":[4.926878e-7,0.9894482,0.001043151,0.0008791711,0.00004114391,0.003330673,0.0002414506,0.00005317654,0.004962493],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5010492,"threshold_uncertainty_score":0.9998386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09103174161749274,"score_gpt":0.4825469664362703,"score_spread":0.3915152248187775,"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."}}