{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007450997,0.0008869835,0.001601982,0.001896147,0.0005995201,0.001197303,0.001895561,0.00115879,0.001339684],"category_scores_gemma":[0.002528345,0.0003805631,0.0008721565,0.00213853,0.0003699489,0.003235616,0.0007622902,0.0008549535,0.0005698014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009105548,"about_ca_system_score_gemma":0.001238993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02851736,"about_ca_topic_score_gemma":0.02019922,"domain_scores_codex":[0.999511,0.00005515319,0.00004241513,0.0001723597,0.0001413255,0.00007771218],"domain_scores_gemma":[0.9993243,0.0002751935,0.00007117668,0.00008525423,0.0001891365,0.00005495787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005595559,0.000601595,0.01848988,0.0003892325,0.0002665451,0.0006755547,0.0002178444,0.6780491,0.009603844,0.02921663,0.02013643,0.2417938],"study_design_scores_gemma":[0.000007068109,0.00001914474,0.0002742911,0.000002354014,0.00001132777,0.00004897586,0.000005884106,0.9976235,0.0002667025,0.001378383,0.0003558328,0.00000661997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2134759,0.004846856,0.7617643,0.001375488,0.0004002386,0.0003467723,0.002424516,0.006902124,0.008463776],"genre_scores_gemma":[0.8995168,0.00119913,0.09063605,0.0002878791,0.0001410643,0.0001341905,0.002260965,0.0001584645,0.005665378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02851736,"threshold_uncertainty_score":0.05670273,"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."}}