{"id":"W2926339186","doi":"10.12676/j.cc.2019.03.005","title":"A novel search engine for Internet of Everything based on dynamic prediction","year":2019,"lang":"en","type":"article","venue":"China Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Software deployment; The Internet; Search engine; World Wide Web; Data mining; Distributed computing; Software engineering","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":[0.0004182628,0.00007755982,0.0001105535,0.0001424038,0.0001084937,0.0000438856,0.001577856,0.00003936314,0.000001548227],"category_scores_gemma":[0.00004863447,0.00007736116,0.00006655406,0.0002370578,0.00003054638,0.0001622298,0.0004305636,0.0001870056,0.00001388222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006202095,"about_ca_system_score_gemma":0.0000635959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004029144,"about_ca_topic_score_gemma":0.000001987428,"domain_scores_codex":[0.9993247,0.00004598337,0.0001944048,0.0001643751,0.0001254132,0.0001451726],"domain_scores_gemma":[0.9979147,0.0003716098,0.00007153781,0.001524935,0.00008602651,0.00003115671],"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":[0.0002107504,0.005519733,0.02382913,0.001212084,0.0003570862,0.000001054052,0.04130967,0.1086383,0.08820065,0.2518592,0.008634965,0.4702275],"study_design_scores_gemma":[0.0003544273,0.0001161328,0.009718859,0.0001007582,0.000003559197,0.000001451309,0.000007812205,0.9873615,0.0004270798,0.0002447564,0.001596571,0.00006712682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04526296,0.00004620037,0.9501373,0.001143271,0.0009473911,0.0003048688,0.000003248906,0.0001016221,0.002053195],"genre_scores_gemma":[0.8660543,0.000003887101,0.1335773,0.00006605189,0.00003769856,0.00001463327,0.00003444,0.000007972764,0.0002036717],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8787232,"threshold_uncertainty_score":0.3154697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547855404133677,"score_gpt":0.281067849672602,"score_spread":0.2555892956312653,"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."}}