{"id":"W7062984601","doi":"","title":"WSIRD: Web Services Integration via Rules for Data Transformation","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data transformation; Web service; Transformation (genetics); Data integration; Data Web; Task (project management); Semantics (computer science); Syntax; Web modeling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009578829,0.00007077875,0.00006560839,0.00002456171,0.00009191346,0.00003896601,0.0001719957,0.00001712129,0.0001467891],"category_scores_gemma":[5.841653e-7,0.00006215502,0.00002115251,0.00005376586,0.000009327132,0.000562324,0.0000159026,0.00004038779,0.00008449875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001126837,"about_ca_system_score_gemma":0.00003176364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002513567,"about_ca_topic_score_gemma":0.00002687896,"domain_scores_codex":[0.999553,0.000004540615,0.0001305577,0.0001114098,0.00007351055,0.0001270017],"domain_scores_gemma":[0.9997344,0.000009377519,0.00003673949,0.0001637955,0.00002727445,0.00002843265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001028088,0.0001387926,0.006420986,0.000104855,0.00007585494,1.803477e-7,0.003630644,0.0001091087,0.421101,0.03741531,0.0003691499,0.5305313],"study_design_scores_gemma":[0.003928565,0.0001145223,0.007400063,0.0001287978,0.00006673083,0.000001200054,0.0007045983,0.2883996,0.5365788,0.1282843,0.03378922,0.0006035296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244211,0.000005858207,0.06660804,0.0002749894,0.0001033104,0.0001930675,0.0001107078,0.00003368828,0.008249206],"genre_scores_gemma":[0.9932129,0.000002110914,0.005632268,0.00003403499,0.0001302532,0.00003266953,0.0009212018,0.000006362284,0.00002813599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5299278,"threshold_uncertainty_score":0.2534608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176089359843154,"score_gpt":0.2617781725393655,"score_spread":0.2400172789409339,"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."}}