{"id":"W3000717943","doi":"10.1002/9781119433316.ch3","title":"Prediction, Prevention, Assessment, and Management of Skin Tears in the Aging Population","year":2020,"lang":"en","type":"other","venue":"","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Psychosocial; Medicine; Health care; Population ageing; Population; Gerontology; Environmental health; Psychiatry","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":[0.000806117,0.000241274,0.0002267621,0.001063731,0.0004564851,0.0007147102,0.0002835141,0.0004568155,0.0039295],"category_scores_gemma":[0.003624114,0.0001083641,0.0003285683,0.0004368802,0.000106851,0.000515732,0.0005838121,0.0006612823,0.001598896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004745864,"about_ca_system_score_gemma":0.00133672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005836958,"about_ca_topic_score_gemma":0.01066706,"domain_scores_codex":[0.9995963,0.0001010909,0.00003729103,0.00003053734,0.0001773259,0.00005746101],"domain_scores_gemma":[0.9994175,0.0001173458,0.0001155404,0.00001022009,0.0002292371,0.0001101223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008714865,0.0004586292,0.1964428,0.0004581762,0.00003830621,0.0005184073,0.0003661175,0.0003679207,0.0004435297,0.001089636,0.05830804,0.7414213],"study_design_scores_gemma":[0.00005577257,0.001408392,0.7185052,0.007500316,0.0002310259,0.005558738,0.004175134,0.003940462,0.001468845,0.006024905,0.251048,0.0000831997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.394423,0.2419658,0.01430984,0.06765315,0.004770357,0.0009373014,0.005437413,0.0007613632,0.2697417],"genre_scores_gemma":[0.7032018,0.2241455,0.02891092,0.004882223,0.001857722,0.0006329364,0.003416141,0.0000734564,0.03287929],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005836958,"threshold_uncertainty_score":0.01314545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05967848284772301,"score_gpt":0.43256019193295,"score_spread":0.3728817090852269,"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."}}