{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009365114,0.001433341,0.001263165,0.002297916,0.001100435,0.006973124,0.004216217,0.00197665,0.004560259],"category_scores_gemma":[0.01355427,0.001462024,0.002687664,0.001812902,0.002299335,0.006524202,0.004515919,0.004301428,0.004534218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346949,"about_ca_system_score_gemma":0.003400314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007053996,"about_ca_topic_score_gemma":0.003650977,"domain_scores_codex":[0.9884497,0.00233294,0.00166681,0.001676015,0.005213517,0.0006609681],"domain_scores_gemma":[0.99255,0.002001174,0.0005218201,0.003459443,0.001158299,0.0003093549],"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":[0.001101266,0.001110923,0.006829916,0.0008364433,0.0006054054,0.002513103,0.00183972,0.04183539,0.04540336,0.2996927,0.05289517,0.5453365],"study_design_scores_gemma":[0.0002873373,0.0001793371,0.001113486,0.000245841,0.0002856401,0.001522308,0.0002995204,0.3554634,0.1492124,0.1507864,0.3403439,0.0002606687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002466647,0.0000763681,0.9551233,0.0002313349,0.00009334872,0.0004030917,0.0003917116,0.03707623,0.00413807],"genre_scores_gemma":[0.07163139,0.000368599,0.9089336,0.0005818807,0.0001085573,0.0005756943,0.004309379,0.00515473,0.008336106],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009365114,"threshold_uncertainty_score":0.04952806,"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."}}