{"id":"W4391558193","doi":"10.1109/icdmw60847.2023.00147","title":"Exhaustive Evaluation of Dynamic Link Prediction","year":2023,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Samsung; Canadian Institute for Advanced Research","keywords":"Computer science; Link (geometry); Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01062995,0.002403329,0.001943099,0.004005969,0.001010267,0.002487812,0.002840098,0.002592661,0.001554094],"category_scores_gemma":[0.03284448,0.0004880565,0.001090448,0.003049629,0.001062687,0.0070978,0.002229398,0.001855385,0.001000969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495129,"about_ca_system_score_gemma":0.002209546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0129433,"about_ca_topic_score_gemma":0.01798786,"domain_scores_codex":[0.9927932,0.002751834,0.0005051476,0.001869898,0.001661282,0.0004187144],"domain_scores_gemma":[0.9772671,0.01398928,0.001198558,0.003665835,0.003286901,0.0005922612],"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":[0.0009694193,0.0008119755,0.03361598,0.001176385,0.0009108667,0.0003637607,0.0002463931,0.5449681,0.005469869,0.006887576,0.02990116,0.3746786],"study_design_scores_gemma":[0.00003010487,0.0002710366,0.002882086,0.00006975628,0.00008819298,0.0001388561,0.00009201246,0.9852312,0.003869214,0.004907001,0.002381157,0.00003933739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5424203,0.01843524,0.3907476,0.002143728,0.0009403416,0.0005957289,0.008131404,0.01923719,0.01734838],"genre_scores_gemma":[0.8918346,0.001399145,0.08864001,0.0005350053,0.0001623962,0.000218693,0.01350807,0.0004506098,0.003251417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0129433,"threshold_uncertainty_score":0.05621725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696918588738054,"score_gpt":0.3326945274972388,"score_spread":0.3057253416098583,"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."}}