{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01229085,0.0003500421,0.0005472404,0.0005363844,0.0005934998,0.002200501,0.006879614,0.0003753387,0.001217257],"category_scores_gemma":[0.01160607,0.0003169085,0.00006072094,0.000958786,0.0005038453,0.002813553,0.001899499,0.001250214,0.004240969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000205017,"about_ca_system_score_gemma":0.002022539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073305,"about_ca_topic_score_gemma":0.0002183278,"domain_scores_codex":[0.9923193,0.0004008082,0.0007559457,0.001599611,0.003267541,0.001656761],"domain_scores_gemma":[0.9930106,0.0007858125,0.000246416,0.001548477,0.003787322,0.0006214007],"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":[0.0001660395,0.0004181104,0.008196129,0.0006246103,0.0001038421,0.00002376584,0.001611759,0.000008711125,0.0008875982,0.5277071,0.2821831,0.1780692],"study_design_scores_gemma":[0.0004683477,0.0003804992,0.0009745433,0.0001310954,0.000007683182,0.0000128867,0.0004021743,0.575509,0.00005178783,0.003088868,0.4186957,0.0002774983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01925636,0.0002147545,0.9230109,0.03853891,0.00135176,0.001504241,0.00002257194,0.00113536,0.01496512],"genre_scores_gemma":[0.9867302,0.000213571,0.007397708,0.0004225545,0.0007068167,0.0001083204,0.0001467462,0.00003597812,0.004238136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9674738,"threshold_uncertainty_score":0.9999283,"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."}}