{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"eaa7cc7dd4dd","filters":{"venue":"RonPub -- Research Online Publishing (RonPub UG)"}},"results":[{"id":"W2402457549","doi":"","title":"Definition and Categorization of Dew Computing","year":2016,"lang":"en","type":"article","venue":"RonPub -- Research Online Publishing (RonPub UG)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Dew; Cloud computing; Computer science; Categorization; Dew point; Data science; Key (lock); World Wide Web; Computer security; Artificial intelligence; Operating system; Meteorology; Geography","authors":[{"name":"Yingwei Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1084977439336416,"gpt":0.3327986469007932,"spread":0.2243009029671516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001670459,0.0002079095,0.0002873676,0.0004307784,0.0002527273,0.0003239916,0.0003790431,0.0001554895,0.00003122898],"category_scores_gemma":[0.002122429,0.0001684631,0.00005119485,0.0006941702,0.0001643342,0.0023544,0.0003077458,0.0006327643,0.000007993226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177044,"about_ca_system_score_gemma":0.00006870679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003317715,"about_ca_topic_score_gemma":0.00005246387,"domain_scores_codex":[0.9975463,0.0002056597,0.0004893975,0.0003887372,0.0006194295,0.0007504789],"domain_scores_gemma":[0.9978719,0.001030978,0.00009318835,0.00032642,0.0004515486,0.0002259621],"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":[0.0001096808,0.0002737873,0.008535509,0.001238811,0.0001296538,0.00004162395,0.00112075,0.008705482,0.2328249,0.04400777,0.006274537,0.6967375],"study_design_scores_gemma":[0.01568916,0.002316182,0.139156,0.007491585,0.0001795216,0.0004798522,0.004383738,0.3019198,0.2612743,0.2059519,0.05537826,0.005779676],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302605,0.00100395,0.06301214,0.001825574,0.0003882313,0.0003304174,0.00006869531,0.0004824801,0.002628018],"genre_scores_gemma":[0.9917845,0.0003429208,0.007130405,0.00003151972,0.000468478,0.000006142199,0.00008294231,0.00005877443,0.00009428239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6909578,"threshold_uncertainty_score":0.6869727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2970544907","doi":"","title":"Data Lifetime Estimation in a Multicast-Based CoAP Proxy","year":2019,"lang":"en","type":"article","venue":"RonPub -- Research Online Publishing (RonPub UG)","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multicast; Computer science; Computer network; Erlang (programming language); Traffic intensity; Protocol Independent Multicast; Proxy (statistics); Source-specific multicast; Exponential distribution; Provisioning; Theoretical computer science; Statistics","authors":[{"name":"Jelena Mišić","is_ca":true},{"name":"Vojislav B. Mišić","is_ca":true},{"name":"Xiaolin Chang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1212022175852981,"gpt":0.3850274464326183,"spread":0.2638252288473202,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009564974,0.0003517153,0.0004809051,0.001348662,0.0002831865,0.005717161,0.007362337,0.0002710494,0.00008866551],"category_scores_gemma":[0.007186501,0.0003371453,0.00009919622,0.002192159,0.0001441999,0.01101607,0.003647552,0.002309965,0.0004078568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000504718,"about_ca_system_score_gemma":0.001388949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224827,"about_ca_topic_score_gemma":0.0008434025,"domain_scores_codex":[0.9923708,0.001048594,0.0007744655,0.001712071,0.002534832,0.001559188],"domain_scores_gemma":[0.9930589,0.001520244,0.0001918875,0.003952397,0.0008117216,0.0004648277],"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":[0.0006548465,0.008046758,0.08538771,0.001183679,0.0002614489,0.0005813754,0.002242727,0.05290244,0.004771051,0.03299873,0.1438252,0.6671441],"study_design_scores_gemma":[0.001652766,0.0001927728,0.006189767,0.0002730247,0.000005192456,0.00001135084,0.0001282411,0.9756289,0.00004528326,0.0005489987,0.01494484,0.0003789396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6186841,0.002027939,0.2135492,0.1481104,0.00278177,0.005595881,0.001097436,0.002095135,0.006058041],"genre_scores_gemma":[0.9479669,0.00002818676,0.04749383,0.00078951,0.0003079936,0.00007937654,0.001569065,0.00006236311,0.00170281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9227264,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}