{"id":"W2958716581","doi":"10.1038/npre.2011.6550.1","title":"The Semantic Automated Discovery and Integration (SADI) Web service Design-Pattern, API and Reference Implementation","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Microsoft Research; Natural Sciences and Engineering Research Council of 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009173098,0.001002105,0.000883473,0.00228952,0.001382639,0.003869038,0.003157494,0.001881628,0.004425615],"category_scores_gemma":[0.01124629,0.001118483,0.002016505,0.002264311,0.001821476,0.003679876,0.003799654,0.003046408,0.004828354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002509482,"about_ca_system_score_gemma":0.006079513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006211094,"about_ca_topic_score_gemma":0.005177686,"domain_scores_codex":[0.9928162,0.001367392,0.001098663,0.0008608449,0.003356655,0.0005002618],"domain_scores_gemma":[0.9935786,0.001087219,0.0004269655,0.002507488,0.002074734,0.000324944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008250296,0.000760211,0.008757125,0.001195528,0.000159415,0.0008654899,0.002147634,0.01789391,0.04802156,0.3652501,0.07191475,0.4822093],"study_design_scores_gemma":[0.0002159117,0.0003343783,0.002873564,0.0005227605,0.0001541097,0.001848826,0.0003648588,0.285484,0.08140376,0.1069937,0.519539,0.0002652479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005761202,0.0001072969,0.96284,0.0007919387,0.0001062333,0.000417083,0.0008120778,0.02190374,0.007260453],"genre_scores_gemma":[0.03402895,0.000209814,0.9535086,0.00036925,0.00003409827,0.0006664702,0.003987752,0.002185012,0.005010032],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009173098,"threshold_uncertainty_score":0.04851252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166202906445801,"score_gpt":0.4009429036881953,"score_spread":0.2843226130436152,"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."}}