{"id":"W3182985492","doi":"10.3390/ijerph18147355","title":"A Health eLearning Ontology and Procedural Reasoning Approach for Developing Personalized Courses to Teach Patients about Their Medical Condition and Treatment","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Politechnika Poznańska","keywords":"Operationalization; Computer science; Ontology; Comprehension; Learning styles; Personalized medicine; Medical education; Multimedia; Medicine; Psychology; Mathematics education; Bioinformatics","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":[0.006744987,0.0006836701,0.0003461945,0.002113716,0.00115598,0.003173629,0.002486874,0.001406125,0.00443871],"category_scores_gemma":[0.008999583,0.0004916452,0.001366658,0.001313965,0.003054315,0.004638727,0.00355188,0.001746971,0.0008012101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00233572,"about_ca_system_score_gemma":0.004821219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860167,"about_ca_topic_score_gemma":0.004335728,"domain_scores_codex":[0.9964575,0.001792313,0.000392933,0.0006300219,0.0005456146,0.0001815411],"domain_scores_gemma":[0.9943407,0.003289884,0.000483619,0.0009601384,0.0005755583,0.0003500193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001112188,0.001383297,0.008233202,0.0008659738,0.000118101,0.0005032591,0.01193513,0.02729838,0.009819213,0.5807194,0.005554619,0.3534583],"study_design_scores_gemma":[0.0002258255,0.0005853738,0.005160994,0.000866058,0.0003018347,0.001370437,0.004859084,0.1897494,0.02137251,0.4977937,0.2775508,0.0001639873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009885113,0.0001046652,0.9777644,0.001410819,0.00003092409,0.0004892448,0.0001483427,0.0006918845,0.009474683],"genre_scores_gemma":[0.05756381,0.0001046936,0.9389597,0.0001780719,0.000009310356,0.0004736351,0.0002607288,0.00005914397,0.00239094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006744987,"threshold_uncertainty_score":0.03567129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05694594985870276,"score_gpt":0.3981072378833512,"score_spread":0.3411612880246484,"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."}}