{"id":"W1979485539","doi":"10.12968/bjon.2010.19.15.77691","title":"The Ostomy Skin Tool: tracking peristomal skin changes","year":2010,"lang":"en","type":"article","venue":"British Journal of Nursing","topic":"Stoma care and complications","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; London Health Sciences Centre","funders":"","keywords":"Medicine; Skin care; Categorical variable; Reliability (semiconductor); Dermatology; Nursing; Computer science","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":[0.001243333,0.0004870201,0.0004183799,0.001987765,0.0003362449,0.0007695107,0.0004299242,0.0005837471,0.00314484],"category_scores_gemma":[0.004570366,0.0002120483,0.0004972073,0.0009515977,0.0003042865,0.0006339783,0.001134187,0.0005451665,0.0006882718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909637,"about_ca_system_score_gemma":0.0005602236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773554,"about_ca_topic_score_gemma":0.004797603,"domain_scores_codex":[0.9988945,0.0004338343,0.0001473831,0.00008509744,0.0003469372,0.00009212009],"domain_scores_gemma":[0.9980882,0.000728165,0.0004693421,0.0001034904,0.00043436,0.0001763057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001949663,0.0008591026,0.5208166,0.001773904,0.000139256,0.00209227,0.003608781,0.000952294,0.04412701,0.0009290128,0.0123211,0.4104311],"study_design_scores_gemma":[0.0001640257,0.003754484,0.9206101,0.0003639649,0.0001963964,0.01000438,0.003253561,0.006422696,0.03643538,0.0005625448,0.01802628,0.0002062073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9495986,0.00128135,0.02907231,0.0004403945,0.0002034534,0.002052832,0.003004116,0.0006524556,0.01369447],"genre_scores_gemma":[0.8965848,0.001922015,0.09086682,0.00020885,0.00006170692,0.001229871,0.001358403,0.0000889968,0.0076786],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00314484,"threshold_uncertainty_score":0.01052052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356488025732713,"score_gpt":0.311237065107183,"score_spread":0.2876721848498559,"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."}}