{"id":"W4393657304","doi":"10.5281/zenodo.6975830","title":"LRGB: Long Range Graph Benchmark","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Benchmark (surveying); Graph; Computer science; Range (aeronautics); Combinatorics; Theoretical computer science; Mathematics; Geography; Materials science; Cartography; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001526698,0.004489226,0.001281949,0.003206332,0.001900801,0.002004931,0.006890153,0.004544933,0.008365433],"category_scores_gemma":[0.007219826,0.0007590638,0.002496962,0.004910823,0.001168963,0.00269269,0.001971471,0.003670127,0.008398677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00370991,"about_ca_system_score_gemma":0.002476897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05201387,"about_ca_topic_score_gemma":0.09672965,"domain_scores_codex":[0.998026,0.0004317184,0.0001113864,0.0006823482,0.0004988906,0.0002497566],"domain_scores_gemma":[0.9974433,0.0007692068,0.000194633,0.0007496495,0.0006039618,0.0002392673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003779636,0.0005989291,0.002779435,0.001514318,0.0002637201,0.0002341687,0.00009189094,0.02553624,0.001479092,0.004595461,0.9327993,0.02972953],"study_design_scores_gemma":[0.002185949,0.0007598157,0.01727689,0.0006644193,0.0003046591,0.001153885,0.0007834662,0.2746556,0.0131066,0.03626714,0.6526542,0.0001873472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08552732,0.004883336,0.0118616,0.004648712,0.0009981209,0.0008594024,0.8297501,0.03316679,0.02830469],"genre_scores_gemma":[0.03280069,0.000605943,0.01864912,0.0007062114,0.00007119522,0.0003938865,0.9411602,0.0009067484,0.004705987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05201387,"threshold_uncertainty_score":0.1034222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249260414222057,"score_gpt":0.2316505517257387,"score_spread":0.2091579475835181,"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."}}