{"id":"W4376865071","doi":"10.48550/arxiv.2305.03240","title":"Sum-of-Local-Effects Data Structures for Separable Graphs","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vertex (graph theory); Combinatorics; Mathematics; RADIUS; Separable space; Graph; Constant (computer programming); Discrete mathematics; Computer science; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004724813,0.0003145694,0.0004333841,0.0003810268,0.0001733631,0.00008015817,0.005028681,0.0002652844,0.000005514267],"category_scores_gemma":[0.00005557532,0.0003415264,0.0002521404,0.0008131935,0.0002118592,0.0004196274,0.004163536,0.0003622085,0.00001862523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003436528,"about_ca_system_score_gemma":0.000149518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000117764,"about_ca_topic_score_gemma":0.00003218504,"domain_scores_codex":[0.9977524,0.0001467279,0.000208501,0.001390201,0.0001004602,0.0004017619],"domain_scores_gemma":[0.9960443,0.0005184607,0.0002620847,0.002908374,0.0001288098,0.0001380005],"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":[0.00003229299,0.00004949208,0.000348419,0.0004201288,0.0001995632,0.0001188632,0.00009615779,0.07536791,0.00003786576,0.9201037,0.001238731,0.001986906],"study_design_scores_gemma":[0.0003380927,0.00005131794,0.0005707706,0.00008067597,0.00007491013,0.000001474876,0.0000351344,0.3146038,0.0007385429,0.6829204,0.0002919681,0.0002929283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05730544,0.0001080813,0.9398164,0.00003199714,0.001496289,0.0005156405,0.0002242624,0.0003132258,0.0001886729],"genre_scores_gemma":[0.99232,0.0001066607,0.006508215,0.00003998981,0.00004537167,0.000002301799,0.0001462822,0.00002559105,0.0008055614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9350146,"threshold_uncertainty_score":0.9999037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1183333197838499,"score_gpt":0.2286674658092309,"score_spread":0.1103341460253811,"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."}}