{"id":"W4379259964","doi":"10.2196/46477","title":"Structure of Health Information With Different Information Models: Evaluation Study With Competency Questions","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Information model; Computer science; Information system; Usability; Knowledge management; USable; Interoperability; Health informatics; Health care; Data science; Information retrieval; Medicine; World Wide Web; Nursing; Engineering; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06175691,0.001117807,0.001566391,0.004352264,0.00110119,0.00311635,0.001661267,0.001868582,0.00286802],"category_scores_gemma":[0.2121317,0.0006159569,0.0029638,0.002982163,0.002197305,0.005670378,0.003626767,0.001526525,0.0004536484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006658979,"about_ca_system_score_gemma":0.004007034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002938166,"about_ca_topic_score_gemma":0.002284277,"domain_scores_codex":[0.9305145,0.04033897,0.01065464,0.002717575,0.01440473,0.001369547],"domain_scores_gemma":[0.7181634,0.2243442,0.01808177,0.008637064,0.02622439,0.004549152],"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":[0.01820207,0.06595337,0.3548397,0.01252849,0.001464755,0.0008006874,0.0626319,0.01701197,0.005425367,0.007025628,0.003576173,0.4505399],"study_design_scores_gemma":[0.01272664,0.1696269,0.605029,0.006218258,0.00380751,0.001372742,0.03942172,0.1025965,0.02607642,0.007863523,0.02438879,0.0008720516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870377,0.0002389628,0.004975444,0.0001229098,0.00001606798,0.004920959,0.0002507216,0.00004497464,0.002392185],"genre_scores_gemma":[0.9556199,0.0003064888,0.03428698,0.0001142543,0.000026511,0.008015851,0.001015199,0.00002587569,0.0005889735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06175691,"threshold_uncertainty_score":0.3266057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05934256589468527,"score_gpt":0.4359511243549313,"score_spread":0.376608558460246,"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."}}