{"id":"W2127231282","doi":"10.1109/ccgrid.2007.8","title":"A Predictive Technique for Replica Selection in Grid Environment","year":2007,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Replica; Computer science; Selection (genetic algorithm); Grid; Grid computing; Distributed computing; Artificial intelligence; Mathematics","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":[0.0008505456,0.00007190704,0.00008682765,0.00007837508,0.00004662814,0.0000289103,0.0002536905,0.00005601274,0.000003159007],"category_scores_gemma":[0.00001447906,0.00006568849,0.00003363338,0.0001979342,0.000009172216,0.00009314437,0.00005895724,0.00006677681,0.000009140652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003847,"about_ca_system_score_gemma":0.00001870217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003821122,"about_ca_topic_score_gemma":0.00001086728,"domain_scores_codex":[0.9991617,0.00002101553,0.0001994131,0.0002909733,0.0001067978,0.000220098],"domain_scores_gemma":[0.9996433,0.00008100837,0.00004976539,0.0001675653,0.00001700293,0.00004141899],"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":[0.0005849177,0.002588256,0.05556238,0.0003342763,0.0001949596,0.00008834896,0.00520816,0.05805109,0.1405987,0.5150831,0.12103,0.1006758],"study_design_scores_gemma":[0.002125361,0.001984357,0.06270119,0.000151298,0.000009936173,0.0002096148,0.000107385,0.4570092,0.1131529,0.01214373,0.3493904,0.00101467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001145058,0.00001150859,0.9937378,0.0001121619,0.0001485811,0.0005911858,0.00000235906,0.0001469725,0.004104371],"genre_scores_gemma":[0.9052488,0.000001304737,0.09407983,0.00007002648,0.0001559785,0.0001120986,0.000004555377,0.000004508491,0.0003228576],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9041038,"threshold_uncertainty_score":0.2678699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062704700518053,"score_gpt":0.2419498151581614,"score_spread":0.2313227681529808,"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."}}