{"id":"W4386708593","doi":"10.32920/24132888","title":"COC: An ontology for capturing semantics of circle of care","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Ontology; Interoperability; Computer science; Semantics (computer science); Upper ontology; World Wide Web; Health care; Knowledge management; Programming language; Semantic Web; Epistemology; Political science; Philosophy","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":[0.005258772,0.001010406,0.001010066,0.005753941,0.00377736,0.006210959,0.002657321,0.002819544,0.003847519],"category_scores_gemma":[0.01286771,0.001212555,0.003616292,0.007122302,0.004352122,0.01245124,0.004783798,0.004061599,0.001181534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005482355,"about_ca_system_score_gemma":0.01203938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07202992,"about_ca_topic_score_gemma":0.04484066,"domain_scores_codex":[0.9918662,0.002177646,0.001445215,0.00144113,0.002458339,0.0006115069],"domain_scores_gemma":[0.9905851,0.003403519,0.001073013,0.001951656,0.002221013,0.0007656046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006106444,0.00007808957,0.001878612,0.0004608254,0.00008218074,0.0006285739,0.004701997,0.006401778,0.001675043,0.9218584,0.01865069,0.04352273],"study_design_scores_gemma":[0.00004996028,0.00004729919,0.001661749,0.0006377382,0.0001433597,0.001335504,0.003316765,0.0412115,0.002861196,0.2746047,0.6739775,0.0001525889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007357082,0.0007824242,0.957776,0.002813276,0.0004101473,0.0009523787,0.005808983,0.002218752,0.02188095],"genre_scores_gemma":[0.1161636,0.001463696,0.8603948,0.001485146,0.0002905533,0.001571983,0.01142202,0.0008509362,0.006357329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07202992,"threshold_uncertainty_score":0.1432213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.210324756403764,"score_gpt":0.5332974641398236,"score_spread":0.3229727077360596,"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."}}