{"meta":{"query_hash":"3cd76b56c4f1","filters":{"venue":"Performance Evaluation Methodolgies and Tools"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/3cd76b56c4f1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Performance+Evaluation+Methodolgies+and+Tools"},"results":[{"id":"W2135915411","doi":"10.5555/1345263.1345276","title":"End-to-end link power control in optical networks using Nash bargaining solution","year":2007,"lang":"en","type":"article","venue":"Performance Evaluation Methodolgies and Tools","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bargaining problem; Game theory; Resource allocation; Computer science; Power control; Control (management); Nash equilibrium; Bargaining power; Power (physics); Resource management (computing); Computer network; Mathematical optimization; Mathematical economics; Mathematics; Economics; Microeconomics; Artificial intelligence","score_opus":0.07613993948581903,"score_gpt":0.3425049904326256,"score_spread":0.26636505094680657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135915411","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012444448,0.00014914478,0.9823484,0.0001319721,0.000021968539,0.000033247357,0.000008348883,0.000028542876,0.0048339874],"genre_scores_gemma":[0.83627665,0.00038071012,0.15673152,0.00008971886,0.000036118978,0.0001775976,0.000014800485,0.000029319328,0.0062636756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985499,0.00080881716,0.00003368224,0.00010255769,0.00038055526,0.00012449619],"domain_scores_gemma":[0.99925166,0.0005201294,0.000058861737,0.000038453072,0.000108861095,0.000022023276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025313352,0.0006032961,0.00068182935,0.0004297081,0.000646231,0.0012047493,0.0011005831,0.00090131664,0.0013663305],"category_scores_gemma":[0.0034229709,0.00037067468,0.00038971324,0.00053210376,0.0011934589,0.0015361945,0.0007993124,0.0006765118,0.0001953941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059380513,0.000043357497,0.00015499178,0.00004120844,0.000016303376,0.00006696705,0.000084728825,0.8255838,0.003142359,0.14849308,0.0005169924,0.021796836],"study_design_scores_gemma":[0.000010951991,0.000025475581,0.00003775712,0.000006304332,0.0000042785014,0.0000142030085,0.000017962095,0.96968096,0.00093489035,0.028743953,0.00051669794,0.0000066668094],"about_ca_topic_score_codex":0.0020570601,"about_ca_topic_score_gemma":0.0019139069,"teacher_disagreement_score":0.0025313352,"about_ca_system_score_codex":0.0012852864,"about_ca_system_score_gemma":0.0012842984,"threshold_uncertainty_score":0.013387144},"labels":[],"label_agreement":null}]}