{"id":"W2170582191","doi":"10.12968/nrec.2009.11.4.41060","title":"The management of dry skin conditions in older adults","year":2009,"lang":"en","type":"article","venue":"Nursing and Residential Care","topic":"Neonatal skin health care","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"","keywords":"Dry skin; Medicine; Older people; Selection (genetic algorithm); Gerontology; Dermatology; 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":[0.0005482814,0.0002433792,0.000345016,0.0005189983,0.000688218,0.0003802396,0.0002650675,0.001010023,0.001588614],"category_scores_gemma":[0.002180599,0.00008865772,0.000330182,0.0002625535,0.0002404252,0.0004836909,0.0005634105,0.0008795107,0.0004441712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457291,"about_ca_system_score_gemma":0.0003442964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040056,"about_ca_topic_score_gemma":0.002784059,"domain_scores_codex":[0.9996031,0.0001275542,0.00005785202,0.00001830942,0.0001487268,0.00004456109],"domain_scores_gemma":[0.9995961,0.00008244051,0.0001304002,0.000008980504,0.00008087296,0.0001013082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002581617,0.0005684695,0.03350554,0.002040579,0.00008311009,0.01211857,0.001703772,0.0002256533,0.004255487,0.0008494597,0.09744184,0.8469494],"study_design_scores_gemma":[0.0004733343,0.004079627,0.3333028,0.005940367,0.0003158483,0.1172714,0.006311429,0.001131574,0.003192243,0.006519884,0.5213528,0.0001086862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1875608,0.6186411,0.005422517,0.09582064,0.005872935,0.000380703,0.0001384186,0.0002693368,0.08589359],"genre_scores_gemma":[0.5132454,0.4140002,0.01199118,0.02855562,0.01317922,0.0002508416,0.0001155164,0.00003039031,0.01863163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001588614,"threshold_uncertainty_score":0.00531441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244280845759614,"score_gpt":0.3897981861054485,"score_spread":0.3773553776478523,"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."}}