{"id":"W2407774790","doi":"","title":"Automated Generation of SADI Web Services for Clinical Intelligence using Ruled-Based Semantic Mappings.","year":2015,"lang":"en","type":"article","venue":"SWAT4LS","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; SQL; SPARQL; World Wide Web; Relational database; Information retrieval; Web service; Database; Semantic Web; RDF","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009290242,0.0001225696,0.0002757185,0.0000924894,0.00005936123,0.00008796167,0.000631183,0.0001046333,0.000002497453],"category_scores_gemma":[0.0001641004,0.0001045497,0.00009333753,0.0002473954,0.00006945554,0.0002662486,0.0001076345,0.00005929625,0.00001860149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002672217,"about_ca_system_score_gemma":0.0002555499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008105105,"about_ca_topic_score_gemma":0.00005150806,"domain_scores_codex":[0.9986318,0.00009078976,0.0005011737,0.0003268674,0.0002184593,0.0002308909],"domain_scores_gemma":[0.9988036,0.0001636677,0.0002206031,0.0004343855,0.0002926953,0.00008504244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006063031,0.003574212,0.2259202,0.004855561,0.00101916,0.0001903918,0.01459929,0.1040818,0.2610933,0.1229138,0.0317772,0.2293686],"study_design_scores_gemma":[0.0002961307,0.0001273712,0.0007833097,0.00005866281,0.00001675314,0.000004157238,0.00007531137,0.9804271,0.01638144,0.001164499,0.0005362846,0.0001289495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4923761,0.00025681,0.505476,0.0003798427,0.0008477389,0.000236324,0.000003115393,0.0003373846,0.00008666851],"genre_scores_gemma":[0.8331218,0.00001050574,0.1664388,0.000273739,0.0001174481,0.000006645705,0.000006240076,0.000006732725,0.00001806065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8763453,"threshold_uncertainty_score":0.4263413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2438724503017385,"score_gpt":0.4005271412896605,"score_spread":0.156654690987922,"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."}}