{"id":"W4379548466","doi":"10.48550/arxiv.2306.03064","title":"Directed Spatial Permutations on Asymmetric Tori","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Mathematics; Dirichlet distribution; Poisson distribution; Asymmetry; Random graph; Heuristics; Combinatorics; Statistical physics; Graph; Mathematical optimization; Boundary value problem; Statistics; Mathematical analysis; Physics","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":[0.0003131157,0.0003144555,0.0003339591,0.0007287807,0.0001927542,0.0001462737,0.001558545,0.0003250282,0.00001519709],"category_scores_gemma":[0.0001461353,0.0003503173,0.0002467004,0.001656108,0.00005014931,0.0001791795,0.00122104,0.0006618997,0.0002715388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139126,"about_ca_system_score_gemma":0.0002078651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004590515,"about_ca_topic_score_gemma":0.00007651955,"domain_scores_codex":[0.9977764,0.0002906134,0.0001884655,0.001243383,0.0001383271,0.0003628304],"domain_scores_gemma":[0.9978448,0.0003394333,0.0001838151,0.001268433,0.0001679792,0.0001955114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002019943,0.000136932,0.0003379395,0.00004833706,0.0001201824,0.0005437963,0.0003055028,0.03095754,0.00001543907,0.9451096,0.00222091,0.02018363],"study_design_scores_gemma":[0.0003452792,0.00007929606,0.004407173,0.00007317917,0.0000634663,0.000002475671,0.00000906249,0.6652893,0.0001119673,0.3284327,0.0006588459,0.0005272864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005318708,0.00002234761,0.9829507,0.0002848002,0.002004324,0.0002699049,0.0000288695,0.001007472,0.008112911],"genre_scores_gemma":[0.9518325,0.000102093,0.04071101,0.0001400486,0.0002126901,0.000002341187,0.00002810832,0.00003255148,0.006938637],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9465138,"threshold_uncertainty_score":0.9998949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081741046824888,"score_gpt":0.2216561310800176,"score_spread":0.1134820263975288,"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."}}