{"id":"W2139846963","doi":"10.1002/cpe.1660","title":"Special issue on Computational Science and Its Applications","year":2010,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Grid computing; Context (archaeology); Data science; Grid; Cloud computing; Semantic grid; Scalability; Distributed computing; Visualization; Middleware (distributed applications); Graphics; World Wide Web; Database; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000536786,0.0001491438,0.0001330548,0.0001164771,0.0007722336,0.0006382741,0.0003341957,0.00005139585,0.000009174118],"category_scores_gemma":[0.0004105189,0.0001453876,0.0000121664,0.0005098889,0.0003454354,0.001470512,0.0001935839,0.0002374998,0.00003128137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001137816,"about_ca_system_score_gemma":0.0001544996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006739983,"about_ca_topic_score_gemma":7.401281e-7,"domain_scores_codex":[0.9984742,0.00005365485,0.000241843,0.000587836,0.0004228374,0.000219603],"domain_scores_gemma":[0.9984107,0.0006067606,0.0001637084,0.0001625434,0.000461441,0.0001948586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001533922,0.0001280928,0.0001674532,0.00003591488,0.000008504354,0.000007437309,0.009744981,0.0005270198,0.0004306924,0.504756,0.001447355,0.4827312],"study_design_scores_gemma":[0.0007482882,0.0002557554,0.003403148,0.00004556582,0.00001245389,0.0004438431,0.001204927,0.4041871,0.0002033272,0.005820399,0.5831419,0.0005332194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.235764,0.0009624814,0.7096149,0.006363329,0.004381589,0.001158511,0.00002248075,0.0003782052,0.04135455],"genre_scores_gemma":[0.9914979,0.00005103815,0.006779514,0.0006370069,0.0009481264,0.00004015379,0.000005300584,0.000004051529,0.00003690261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7557339,"threshold_uncertainty_score":0.6154891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927513299876652,"score_gpt":0.328533067666696,"score_spread":0.3092579346679294,"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."}}