{"id":"W2123194759","doi":"10.1109/ictmicc.2007.4448580","title":"A lightweight semantic overlay resource discovery","year":2007,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Service discovery; Distributed computing; Overlay network; Computer network; Semantic grid; World Wide Web; Web service; The Internet; Semantic Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001245704,0.0003763009,0.0008877098,0.001234764,0.001097342,0.001692056,0.001614636,0.0008688262,0.001337853],"category_scores_gemma":[0.00274624,0.0003248233,0.0006191163,0.001249815,0.000773344,0.003314769,0.00240262,0.0007959881,0.0004812509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116915,"about_ca_system_score_gemma":0.002251496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002565175,"about_ca_topic_score_gemma":0.003027491,"domain_scores_codex":[0.998417,0.0002594799,0.0001288953,0.0002300965,0.0008059309,0.000158586],"domain_scores_gemma":[0.9989715,0.0002042404,0.00008048299,0.00038305,0.0002840203,0.00007678979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004094329,0.0002448747,0.001759851,0.0006611578,0.0001528674,0.0008353459,0.0005316191,0.08817399,0.06616247,0.3359827,0.01313339,0.4919523],"study_design_scores_gemma":[0.000049742,0.0001816472,0.0005031085,0.00003980707,0.0001058822,0.000953032,0.0001939593,0.8296508,0.03659439,0.06169848,0.06993831,0.00009078959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01101574,0.0002767488,0.9823934,0.000266635,0.0001111044,0.0001479968,0.000125948,0.001656365,0.004006167],"genre_scores_gemma":[0.3214184,0.0004926428,0.6723803,0.000107379,0.00007031473,0.0001803262,0.0003871816,0.0001078884,0.004855672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002565175,"threshold_uncertainty_score":0.008103848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009540482543208415,"score_gpt":0.216802088654938,"score_spread":0.2072616061117296,"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."}}