{"id":"W1990710596","doi":"10.1145/2166896.2166923","title":"Towards clinical intelligence with SADI semantic web services","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa; University of New Brunswick","funders":"","keywords":"Computer science; Semantic Web; RDF; Social Semantic Web; Semantic data model; Semantic grid; Semantic analytics; Information retrieval; Linked data; Relational database; Semantic Web Stack; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0003638855,0.0001341878,0.0002076489,0.00005465405,0.00005734002,0.00008385749,0.001372681,0.00007054098,0.0001193013],"category_scores_gemma":[0.00001610416,0.00008320364,0.00005817847,0.0002464097,0.0001124867,0.0003908838,0.0003053161,0.0001170948,0.0002990207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006332169,"about_ca_system_score_gemma":0.00009179841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000385318,"about_ca_topic_score_gemma":0.0005632476,"domain_scores_codex":[0.9987755,0.00005317605,0.0002876142,0.00040491,0.0002014791,0.0002773629],"domain_scores_gemma":[0.9990733,0.00007940755,0.00007142541,0.0006081222,0.00006752161,0.000100219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006564379,0.0004793798,0.2251027,0.0001214822,0.0001366191,0.0003113498,0.004773064,0.000005764381,0.00007758766,0.4652386,0.0007475457,0.3029403],"study_design_scores_gemma":[0.001290901,0.003484567,0.614709,0.0003626277,0.0001207833,0.0005254755,0.004064878,0.2449713,0.02830345,0.09149138,0.008449174,0.002226481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2217368,0.0001579808,0.6678509,0.0006769369,0.0006682366,0.0001582432,3.604494e-7,0.0006797031,0.1080709],"genre_scores_gemma":[0.8595827,0.00005720199,0.1391634,0.0008292415,0.00003733407,0.000003870582,2.129177e-7,0.000004824607,0.0003212693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6378459,"threshold_uncertainty_score":0.3843406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07693153694208288,"score_gpt":0.3049162206138758,"score_spread":0.2279846836717929,"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."}}