{"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":"7621c4a05c08","filters":{"venue":"Elaris Computing Nexus"}},"results":[{"id":"W4416143831","doi":"10.65148/ecn/2025019","title":"Personalized Text to Speech Synthesis through Few Shot Speaker Adaptation with Contrastive Learning","year":2025,"lang":"en","type":"article","venue":"Elaris Computing Nexus","topic":"Speech Recognition and Synthesis","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":"Trinity College","funders":"","keywords":"Naturalness; Similarity (geometry); Speaker recognition; Mean opinion score; Speech synthesis; Encoder; Feature learning; Word error rate; Speaker diarisation","authors":[{"name":"Karthikeyan Natarajan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02728395361844038,"gpt":0.2702029549770197,"spread":0.2429190013585793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004100564,0.0006769203,0.0005230203,0.000251058,0.0001777767,0.0003701316,0.0007504963,0.0006083403,0.002355356],"category_scores_gemma":[0.00119888,0.0002073735,0.0006826473,0.0001907444,0.000297825,0.0007980988,0.0007719381,0.0009426766,0.001294953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002252902,"about_ca_system_score_gemma":0.0003073092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009662585,"about_ca_topic_score_gemma":0.001760877,"domain_scores_codex":[0.9997205,0.00005665706,0.00001444574,0.0001130095,0.00007430035,0.00002118495],"domain_scores_gemma":[0.9996647,0.0001609155,0.00002406263,0.00006057457,0.00006644332,0.00002328584],"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":[0.0007681867,0.0002960474,0.0008727784,0.0002031753,0.0001504898,0.0002932292,0.0002170679,0.1797822,0.2545539,0.003256426,0.003536386,0.5560701],"study_design_scores_gemma":[0.00003537472,0.0001866112,0.0005192179,0.000008539743,0.00003267374,0.0001564227,0.00003118356,0.9420244,0.05254997,0.002340989,0.002089776,0.00002487674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04360974,0.0003538465,0.95006,0.00009109481,0.0001255706,0.00006738661,0.0001263055,0.003400607,0.002165473],"genre_scores_gemma":[0.6339163,0.0002332816,0.3573038,0.0002594212,0.00009064517,0.0002073882,0.00082047,0.0005184396,0.006650294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002355356,"threshold_uncertainty_score":0.007879496,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415568591","doi":"10.65148/ecn/2025009","title":"Performance Evaluation of Routing Protocols for Vehicle-to-Vehicle Communication in Urban VANETs Using Simulation Based Metrics","year":2025,"lang":"en","type":"article","venue":"Elaris Computing Nexus","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Link-state routing protocol; Dynamic Source Routing; Geographic routing; Routing protocol; Static routing; Equal-cost multi-path routing; Network packet; Optimized Link State Routing Protocol; Multipath routing","authors":[{"name":"Jain Emadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04359393734939093,"gpt":0.3289356303187336,"spread":0.2853416929693427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002990084,0.0009331212,0.0006000421,0.001113064,0.0003640798,0.0009187725,0.0006915214,0.000617218,0.0005563181],"category_scores_gemma":[0.00643881,0.0002369972,0.000347785,0.00103744,0.0004954918,0.000920364,0.0005198291,0.0004154938,0.00009254354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572577,"about_ca_system_score_gemma":0.0008383468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005928213,"about_ca_topic_score_gemma":0.003511842,"domain_scores_codex":[0.9982865,0.0008735491,0.0001186837,0.0001118015,0.0004739654,0.0001353851],"domain_scores_gemma":[0.995738,0.002760793,0.0003345321,0.0002942243,0.00075584,0.0001165552],"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":[0.0001541822,0.00009603904,0.00225535,0.0000495224,0.00005528465,0.00002767547,0.00003993169,0.9859346,0.001709132,0.001666287,0.0002245583,0.007787532],"study_design_scores_gemma":[0.000006001554,0.0002360598,0.0005657613,0.000004377012,0.000009892851,0.00001310217,0.00003724558,0.9973501,0.00128778,0.0003050558,0.0001782299,0.000006413288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358887,0.0006021837,0.05601713,0.0002932468,0.00009444259,0.0002378955,0.0003440522,0.0006184315,0.005903853],"genre_scores_gemma":[0.991087,0.0001726214,0.00795945,0.00001250661,0.000004757901,0.00006452107,0.0002079971,0.00001696038,0.0004741364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005928213,"threshold_uncertainty_score":0.01581323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}