{"id":"W2145892679","doi":"10.5339/qfarc.2014.hbpp0784","title":"Linked Data Based Semantically Enabled Electronic Medical Record Systems","year":2014,"lang":"en","type":"article","venue":"Qatar Foundation Annual Research Conference Proceedings Volume 2014 Issue 1","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Implementation; Identifier; Semantics (computer science); Clinical decision support system; RDF; Linked data; Resource (disambiguation); Unique identifier; Semantic Web; Information retrieval; Decision support system; Data mining; Software engineering; Programming language","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":[0.01183289,0.001066664,0.001415867,0.006623733,0.002284371,0.009551628,0.00451063,0.003493521,0.004651268],"category_scores_gemma":[0.02336534,0.001020611,0.002593108,0.008269361,0.0025809,0.0158456,0.01428675,0.003149214,0.003949717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003020075,"about_ca_system_score_gemma":0.003827128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006284772,"about_ca_topic_score_gemma":0.004374178,"domain_scores_codex":[0.9839684,0.004925231,0.003061173,0.002458509,0.0048987,0.0006880604],"domain_scores_gemma":[0.9831834,0.006194227,0.001441318,0.005024538,0.003447878,0.000708643],"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":[0.001170925,0.0006293835,0.005380367,0.002282962,0.0004973725,0.002550966,0.0031089,0.0749189,0.01168838,0.5196002,0.05154268,0.3266289],"study_design_scores_gemma":[0.0002575752,0.0001835179,0.001490428,0.0007424321,0.0003061166,0.0008114931,0.0007015002,0.2468447,0.02646718,0.3597281,0.362179,0.0002879287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005459145,0.0008639586,0.9581203,0.002275836,0.000263842,0.0006250067,0.005935661,0.01777959,0.008676635],"genre_scores_gemma":[0.1453728,0.002630682,0.8021667,0.002499106,0.0004123343,0.001297611,0.03523931,0.00171555,0.008665857],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01183289,"threshold_uncertainty_score":0.0625791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0652416011562627,"score_gpt":0.3579603888128016,"score_spread":0.2927187876565389,"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."}}