{"id":"W2168000556","doi":"10.1109/ccece.1993.332457","title":"An expert system for pressure ulcers: a work in progress","year":2002,"lang":"en","type":"article","venue":"","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Expert system; Intuition; Medical diagnosis; Computer science; Domain (mathematical analysis); Health care; Knowledge base; Knowledge management; Artificial intelligence; Medicine; Psychology; Mathematics; Pathology; Cognitive 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":[0.008412099,0.0006741963,0.001009283,0.001485516,0.0008997477,0.002762361,0.002826983,0.002920835,0.02169084],"category_scores_gemma":[0.01146549,0.0004415807,0.0007923174,0.001067542,0.0008289879,0.004864217,0.001173084,0.001773769,0.007712007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005749697,"about_ca_system_score_gemma":0.002526684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00762139,"about_ca_topic_score_gemma":0.004123403,"domain_scores_codex":[0.9967228,0.001109788,0.0004065257,0.0005055228,0.001117127,0.0001383179],"domain_scores_gemma":[0.992374,0.002966881,0.0001246449,0.0008405124,0.003184013,0.0005098702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003555733,0.0006335787,0.001105834,0.0008123156,0.0001331078,0.0003957898,0.0005486354,0.005802886,0.02599741,0.004344499,0.06559374,0.8942766],"study_design_scores_gemma":[0.0007718534,0.001211236,0.006023392,0.0008230493,0.0004615787,0.002256615,0.0007527959,0.2680126,0.05864904,0.01169386,0.6490321,0.0003118442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01560251,0.003513118,0.9370139,0.003077554,0.0007174156,0.001109432,0.001224176,0.02340981,0.01433215],"genre_scores_gemma":[0.04481687,0.002953646,0.9245445,0.001048989,0.0003323137,0.0004028009,0.004203314,0.0009085796,0.02078896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02169084,"threshold_uncertainty_score":0.07256311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08144085501163797,"score_gpt":0.4184849101106395,"score_spread":0.3370440550990015,"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."}}