{"id":"W4402387438","doi":"10.48550/arxiv.2408.06283","title":"Proportion-Based Hypergraph Burning","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Hypergraph; Computer science; Mathematics; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003295394,0.0006049584,0.001058132,0.001249229,0.0007243448,0.001923357,0.002365502,0.001432918,0.006037124],"category_scores_gemma":[0.0153776,0.0006986327,0.00113783,0.001124122,0.002474752,0.005222657,0.001944158,0.001826112,0.0009496083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882592,"about_ca_system_score_gemma":0.0009277716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341228,"about_ca_topic_score_gemma":0.001422736,"domain_scores_codex":[0.9980093,0.000753897,0.00009873645,0.0005267177,0.0004047916,0.0002067073],"domain_scores_gemma":[0.9897552,0.005424509,0.001485248,0.002210604,0.0006452456,0.0004792041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003227491,0.00008413466,0.003877884,0.0001523729,0.00007854166,0.0001558745,0.0004198272,0.4029664,0.007997428,0.5336381,0.001302696,0.04900411],"study_design_scores_gemma":[0.00003594377,0.00008479309,0.0003615719,0.00002813907,0.00002607711,0.0001157229,0.00005095877,0.7343721,0.003191997,0.2593704,0.002339303,0.00002297312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09419756,0.0002181121,0.8993179,0.0002616766,0.00003282171,0.0001016472,0.000176479,0.0004575661,0.005236233],"genre_scores_gemma":[0.808624,0.0003610185,0.1795807,0.0001967119,0.00005630856,0.0002721771,0.0003109248,0.0002538952,0.01034441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006037124,"threshold_uncertainty_score":0.02019614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04925980566641569,"score_gpt":0.184730145759031,"score_spread":0.1354703400926154,"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."}}