{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006219089,0.0003139602,0.0002977724,0.0002957963,0.000487883,0.003847333,0.00126479,0.000299134,0.0000378012],"category_scores_gemma":[0.001088463,0.000192984,0.00004176699,0.0005131243,0.0001062471,0.000608746,0.0027047,0.000955029,0.00002702578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005618795,"about_ca_system_score_gemma":0.00008118763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004927454,"about_ca_topic_score_gemma":0.001562155,"domain_scores_codex":[0.9962655,0.0003167527,0.0006764956,0.001341178,0.001085766,0.0003142542],"domain_scores_gemma":[0.9966255,0.001155962,0.0006242859,0.001012966,0.0004835817,0.0000976843],"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":[0.0002385537,0.00009334715,0.008349883,0.0002707589,0.0002257359,0.000009573037,0.008540976,0.0001467898,0.003834182,0.006652048,0.2201795,0.7514586],"study_design_scores_gemma":[0.001726328,0.0003568108,0.1624403,0.001233293,0.0004272311,0.00005299722,0.008590695,0.6596497,0.004530986,0.136763,0.02241031,0.001818308],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012814,0.001944436,0.07882272,0.00625602,0.006413457,0.002282386,0.0002235023,0.0006955052,0.002080549],"genre_scores_gemma":[0.996748,0.0002410742,0.001868337,0.0004143601,0.00009158756,0.0000400519,0.000116338,0.00001573609,0.0004644799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7496403,"threshold_uncertainty_score":0.9971868,"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."}}