{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008280654,0.0004256084,0.0006747626,0.002415869,0.0009493189,0.0058586,0.001738847,0.001520558,0.002092448],"category_scores_gemma":[0.008138516,0.0005565574,0.001106188,0.003178203,0.001491178,0.006055521,0.004496162,0.002163714,0.00143447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002050671,"about_ca_system_score_gemma":0.004048535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006629795,"about_ca_topic_score_gemma":0.007386166,"domain_scores_codex":[0.996231,0.001192114,0.0004551214,0.0003081472,0.001537442,0.0002761158],"domain_scores_gemma":[0.9970012,0.001067927,0.0002073396,0.0005241176,0.0008570692,0.0003423276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003215839,0.0002450287,0.004025256,0.0006272633,0.0001434349,0.001054708,0.00213056,0.01495718,0.007185706,0.6609744,0.03991427,0.2684205],"study_design_scores_gemma":[0.00009797842,0.00006847581,0.0007870791,0.0003089612,0.00009745359,0.0007611413,0.001303666,0.1713859,0.008236795,0.4056715,0.411211,0.00007018408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01316002,0.001790798,0.9265442,0.01284496,0.0003969827,0.0004910869,0.001038728,0.006859373,0.03687394],"genre_scores_gemma":[0.1251064,0.002078528,0.8610506,0.002871695,0.0001669704,0.0002280824,0.002910143,0.0003511747,0.005236447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008280654,"threshold_uncertainty_score":0.04379278,"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."}}