{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001638718,0.00008577964,0.0001332844,0.00007252537,0.0007253631,0.000008000517,0.0001055552,0.0001104058,0.0000332235],"category_scores_gemma":[0.00001233182,0.00006594387,0.0000347312,0.0001583278,0.00008519518,0.00004875438,0.0000239816,0.0003022983,0.000009604072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001396158,"about_ca_system_score_gemma":0.00005839499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004028884,"about_ca_topic_score_gemma":0.0005133839,"domain_scores_codex":[0.9987602,0.0001749983,0.0003480999,0.0001787733,0.0002126222,0.0003253596],"domain_scores_gemma":[0.9993923,0.0001180561,0.0001018872,0.0002027459,0.0001142629,0.00007068761],"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":[0.0009668295,0.0002067773,0.02892214,0.004435365,0.00004723375,0.0001498837,0.125693,0.00003211293,0.00006666909,0.01905069,0.02174955,0.7986797],"study_design_scores_gemma":[0.001320017,0.00006142223,0.9042354,0.006190346,0.0000239001,0.000001102513,0.08519297,0.00001304036,0.00006136567,0.001792015,0.001019231,0.00008917297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713134,0.009522968,0.00001961865,0.003240478,0.001351127,0.001152975,0.00003558161,0.00004314863,0.01332072],"genre_scores_gemma":[0.9987083,0.000403691,0.0001073872,0.0001582043,0.0001205353,0.00003055697,0.00002705535,0.000008861984,0.0004354134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8753133,"threshold_uncertainty_score":0.557898,"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."}}