{"id":"W2991862006","doi":"10.23889/ijpds.v4i1.1124","title":"Concept Dictionary and Glossary at MCHP","year":2019,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Glossary; Documentation; Computer science; Consistency (knowledge bases); Globe; Data science; Government (linguistics); Knowledge management; Terminology; World Wide Web; Artificial intelligence; Linguistics; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004868034,0.00117006,0.001672158,0.01628117,0.004112989,0.008714749,0.003727973,0.00193512,0.1881645],"category_scores_gemma":[0.02216566,0.001194199,0.0006178513,0.0290773,0.002612014,0.00881205,0.003863462,0.005759632,0.0938971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008191919,"about_ca_system_score_gemma":0.02081759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06822168,"about_ca_topic_score_gemma":0.04189258,"domain_scores_codex":[0.9957897,0.0009889089,0.00106127,0.0005314196,0.001429598,0.0001991493],"domain_scores_gemma":[0.979198,0.005743395,0.00161976,0.00248359,0.009829497,0.001125835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003158575,0.00002301968,0.0002186729,0.0008837205,0.00000381025,0.0001050296,0.00115181,0.0001210071,0.0003165193,0.05719907,0.8867354,0.05321042],"study_design_scores_gemma":[0.00000411443,0.000003010661,0.000225213,0.0003047143,0.000001290896,0.00005913864,0.0002717318,0.00004831587,0.00005261239,0.002539563,0.9964789,0.00001145957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001971228,0.01256785,0.06351683,0.02227734,0.01110284,0.003621097,0.3346123,0.005834613,0.544496],"genre_scores_gemma":[0.02246058,0.02657835,0.2064997,0.01643874,0.004415036,0.01196384,0.4300406,0.01086077,0.2707425],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1881645,"threshold_uncertainty_score":0.629473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3181216733610139,"score_gpt":0.5508663089012783,"score_spread":0.2327446355402644,"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."}}