{"id":"W2162832420","doi":"10.1186/2041-1480-2-8","title":"The Semantic Automated Discovery and Integration (SADI) Web service Design-Pattern, API and Reference Implementation","year":2011,"lang":"en","type":"article","venue":"Journal of Biomedical Semantics","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Alberta; Microsoft Research; Heart and Stroke Foundation of British Columbia and Yukon; Canadian Institutes of Health Research; Genome Canada; University of British Columbia; Heart and Stroke Foundation of Canada","keywords":"Computer science; World Wide Web; Web service; Interoperability; Workflow; Semantic Web; Service discovery; Service (business); Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006482469,0.0001093205,0.0001953925,0.000237641,0.0002638919,0.000752243,0.0005501978,0.00004109411,0.00004095516],"category_scores_gemma":[0.000765661,0.00005666751,0.00002988154,0.0005816127,0.000191644,0.000510589,0.000288817,0.0001577806,0.00001437057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002079446,"about_ca_system_score_gemma":0.00006453659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008190351,"about_ca_topic_score_gemma":0.0001746103,"domain_scores_codex":[0.9972317,0.0002636253,0.0008723054,0.0002478619,0.001186968,0.0001975374],"domain_scores_gemma":[0.9977688,0.0008457197,0.0006017332,0.0003039628,0.0003256685,0.0001540677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001954343,0.0002933588,0.01215304,0.00005525208,0.0001560237,0.0001035278,0.004042702,0.000009049225,0.005479014,0.001554785,0.0822029,0.8937549],"study_design_scores_gemma":[0.003216482,0.002177606,0.3169539,0.00048744,0.0003336835,0.0006347559,0.02102229,0.5965962,0.001831968,0.02672767,0.02940632,0.000611715],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7109205,0.0001758586,0.2829997,0.004610559,0.001031215,0.0001575118,0.00001160813,0.00003047595,0.00006253146],"genre_scores_gemma":[0.9964913,0.0001878363,0.002910262,0.0002587371,0.00007037637,7.756814e-7,0.00000415691,0.000004806692,0.00007175047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8931432,"threshold_uncertainty_score":0.7253897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1665032048340339,"score_gpt":0.3890595765663318,"score_spread":0.2225563717322979,"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."}}