{"id":"W2905206215","doi":"10.12968/npre.2018.16.12.600","title":"Skin tears: Prediction, prevention, assessment and management","year":2018,"lang":"en","type":"article","venue":"Nurse Prescribing","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nurses Association; Western University","funders":"","keywords":"Medicine; Tears; Best practice; Artificial tears; Skin care; Intensive care medicine; Wound care; Dermatology; Surgery; Nursing; Management","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":[0.003735062,0.0007588367,0.001176869,0.001807709,0.001110198,0.002534056,0.0008856931,0.001761477,0.002692011],"category_scores_gemma":[0.01493438,0.0003441787,0.0006341466,0.0008766355,0.0006059897,0.001645179,0.001374934,0.002714815,0.001766946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009792317,"about_ca_system_score_gemma":0.003500104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003703155,"about_ca_topic_score_gemma":0.0047887,"domain_scores_codex":[0.9962842,0.001417845,0.0005415155,0.0001561425,0.001429416,0.0001708468],"domain_scores_gemma":[0.9955329,0.001768883,0.0008497671,0.00008308077,0.001327168,0.0004382964],"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":[0.0001064701,0.0008128584,0.04892901,0.004097953,0.00008446081,0.001212771,0.0008985427,0.0006825662,0.0007205552,0.001828974,0.07530044,0.8653255],"study_design_scores_gemma":[0.0003078052,0.004396889,0.3340003,0.09648258,0.0008743528,0.03757443,0.02288309,0.01039109,0.004070592,0.04722616,0.4412373,0.0005554392],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04655519,0.6412176,0.02998994,0.2096364,0.005731706,0.00134738,0.0006573497,0.0006009181,0.06426349],"genre_scores_gemma":[0.2177496,0.6826804,0.07251678,0.009492623,0.006672891,0.0006942935,0.0005962873,0.00007746293,0.009519697],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003735062,"threshold_uncertainty_score":0.01975316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05460679317651199,"score_gpt":0.4258950189494362,"score_spread":0.3712882257729242,"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."}}