{"id":"W2383940453","doi":"","title":"Supplely Analyzing Reaserches of Grid Technology Based on Campus Network","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Grid; Campus network; Grid computing; Order (exchange); Engineering management; Telecommunications","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":[0.0005402499,0.0001984225,0.000135947,0.001216569,0.0006323032,0.002012832,0.0003556232,0.0003627334,0.003784145],"category_scores_gemma":[0.002807685,0.000106753,0.0002654076,0.001693013,0.0006103532,0.004089285,0.0006998832,0.0004938629,0.0005447011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075703,"about_ca_system_score_gemma":0.0005393161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003009881,"about_ca_topic_score_gemma":0.002683916,"domain_scores_codex":[0.999301,0.0002393728,0.00002635664,0.00008625988,0.0002375124,0.0001095066],"domain_scores_gemma":[0.9990467,0.0004411087,0.00009184568,0.0001357929,0.0002200347,0.00006443652],"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":[0.0001667159,0.00009611762,0.0401877,0.0003494921,0.00003816108,0.001251793,0.00288557,0.02557271,0.004127719,0.7096279,0.01097777,0.2047184],"study_design_scores_gemma":[0.00001738508,0.0002111567,0.07441363,0.0003546385,0.0001133087,0.001795373,0.0110745,0.3137123,0.01112334,0.2758637,0.3112305,0.00009016263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4238831,0.00596765,0.1677074,0.005339886,0.0004459228,0.0001351362,0.0003569169,0.0005005983,0.3956633],"genre_scores_gemma":[0.9675035,0.003640457,0.01317935,0.0001735347,0.0001270008,0.00004314507,0.0002838031,0.00006247708,0.01498684],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003784145,"threshold_uncertainty_score":0.01265925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005437060891385037,"score_gpt":0.2149390857216996,"score_spread":0.2095020248303145,"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."}}