{"id":"W2154637813","doi":"10.1109/isie.2006.296063","title":"The Grid Resource Model for Instruments and Sensors","year":2006,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Argonne National Laboratory; University of California, San Diego; Canarie; Woods Hole Oceanographic Institution; National Aeronautics and Space Administration","keywords":"Grid; Computer science; Grid computing; Middleware (distributed applications); e-Science; Resource (disambiguation); Semantic grid; Instrument control; Scientific instrument; Software engineering; Distributed computing; Systems engineering; Data science; World Wide Web; Operating system; Engineering; Semantic Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0002233479,0.00006549623,0.00006162172,0.00001368032,0.0002684933,0.0002391041,0.0003271802,0.00002355732,1.622254e-7],"category_scores_gemma":[0.000007723662,0.00004145602,0.00002618674,0.00006842263,0.00002279052,0.00006897398,0.00009750081,0.00003134365,0.000003818356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008284272,"about_ca_system_score_gemma":0.00001352828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003271946,"about_ca_topic_score_gemma":0.000009101845,"domain_scores_codex":[0.9993914,0.00002028622,0.0001293539,0.0001728321,0.0001024976,0.0001836263],"domain_scores_gemma":[0.9995853,0.00009112963,0.0000391588,0.0002296223,0.00002533392,0.00002944724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000012875,0.000039588,0.001156545,0.00002157205,0.00002000763,0.000001354984,0.0003157938,0.08631352,0.00006768391,0.713263,0.1738135,0.02497464],"study_design_scores_gemma":[0.0001661068,0.00001258912,0.0002203403,0.000003849905,9.973336e-7,0.000005851436,0.000008690585,0.9198624,0.00003399911,0.00547859,0.07414663,0.00005997024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05249209,0.00005506453,0.9356114,0.001053006,0.0001710625,0.0001663521,0.000005971121,0.0001250163,0.01031998],"genre_scores_gemma":[0.9822733,0.000001332901,0.01095617,0.0001025587,0.00009410889,0.000007719335,0.00000444604,0.000003614423,0.006556693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9297813,"threshold_uncertainty_score":0.2305687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259832102180829,"score_gpt":0.2207552122214002,"score_spread":0.2081568911995919,"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."}}