{"id":"W2130223206","doi":"10.1109/hpcs.2008.17","title":"SpectroGrid: Providing Simple Secure Remote Access to Scientific Instruments","year":2008,"lang":"en","type":"article","venue":"Proceedings/Proceedings (International Symposium on High Performance Computing Systems and Applications)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Brock University; Université Laval","keywords":"Instrumentation (computer programming); Computer science; Overhead (engineering); Simple (philosophy); Virtual instrumentation; Popularity; Scientific instrument; Visualization; Field (mathematics); Computer security; Data acquisition; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008520153,0.0005144171,0.0004737863,0.0004818209,0.00191235,0.003498323,0.002633586,0.0001508123,0.000002649078],"category_scores_gemma":[0.00003421629,0.0005040951,0.0000884262,0.001477132,0.0001219414,0.001647558,0.001025891,0.0003812522,0.00010067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413689,"about_ca_system_score_gemma":0.00008388203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009135955,"about_ca_topic_score_gemma":5.520442e-7,"domain_scores_codex":[0.9955418,0.000009402189,0.0009040362,0.001575139,0.001190285,0.0007793484],"domain_scores_gemma":[0.9975803,0.00004946216,0.0006271182,0.0003072389,0.00106009,0.0003757548],"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":[0.0002682471,0.001138548,0.2338944,0.002801493,0.000588906,0.000018259,0.009927061,0.01718163,0.03611981,0.5789731,0.0477522,0.07133635],"study_design_scores_gemma":[0.001527183,0.0004894127,0.01772851,0.001129792,0.00002789775,0.0009404413,0.0002216885,0.7670839,0.006742674,0.000719861,0.2017918,0.001596731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960963,0.0000463947,0.02570579,0.001417395,0.001374439,0.001633959,0.00001934617,0.0007625992,0.008077145],"genre_scores_gemma":[0.9943088,0.00005807181,0.003271835,0.0002811866,0.001433462,0.0001508254,0.00003612042,0.00004431941,0.0004153561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7499023,"threshold_uncertainty_score":0.9997411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826253865720741,"score_gpt":0.256243370259906,"score_spread":0.2379808316026985,"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."}}