{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000748769,0.00004297102,0.00005184339,0.0001393337,0.00002684902,0.00002115704,0.000273347,0.00004058157,0.00001397632],"category_scores_gemma":[0.00009308879,0.0000353948,0.00001865611,0.0006284318,0.00001492554,0.0002899567,0.0001065943,0.00005419366,0.00002261156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004677203,"about_ca_system_score_gemma":0.00005140069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001036159,"about_ca_topic_score_gemma":0.000002956943,"domain_scores_codex":[0.9992492,0.00002859305,0.0001082368,0.0001494813,0.0003841122,0.00008041656],"domain_scores_gemma":[0.9994384,0.00002436975,0.00005015962,0.0002090424,0.0002629603,0.00001508684],"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":[0.000002519157,0.00001420118,0.0001831165,0.0000244784,0.00001059852,0.00000173739,0.0006209401,0.0001118581,0.01914078,0.02820146,0.001486361,0.9502019],"study_design_scores_gemma":[0.0000935146,0.00003252674,0.003582511,0.0000210809,0.000007264729,0.000001734779,0.00001596082,0.8823873,0.02348342,0.09030772,0.00002288885,0.00004406674],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02277866,0.0003514189,0.9707177,0.0009530382,0.0002466995,0.0002639125,0.00000256612,0.002210345,0.002475632],"genre_scores_gemma":[0.8527547,0.000006384319,0.1469413,0.00002222528,0.00001390062,0.00001501403,0.000006706247,0.000002794406,0.0002370199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9501579,"threshold_uncertainty_score":0.1443358,"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."}}