{"id":"W2951356300","doi":"10.48550/arxiv.1310.5788","title":"Forbidden minors for graphs with no first obstruction to parametric Feynman integration","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Feynman diagram; Combinatorics; Mathematics; Planar graph; Parametric statistics; Feynman integral; Octahedron; Graph; Discrete mathematics; Physics; Quantum mechanics; Mathematical physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001540518,0.0003583245,0.0003545847,0.0005445208,0.0002422011,0.0002279437,0.001154788,0.0003118059,0.00002377118],"category_scores_gemma":[0.00001571719,0.0003463796,0.0001844207,0.001029069,0.00007193321,0.0004405965,0.0005403724,0.0003537808,0.0001080982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766834,"about_ca_system_score_gemma":0.000130691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003157337,"about_ca_topic_score_gemma":0.0001620871,"domain_scores_codex":[0.9980927,0.00004396782,0.0002351909,0.001099631,0.0001246587,0.0004039016],"domain_scores_gemma":[0.9978524,0.0001637057,0.0002801473,0.0009821323,0.0004384444,0.000283108],"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":[0.0004820696,0.0003241677,0.006454163,0.0003610574,0.0004487331,0.0002212713,0.0008314845,0.1577933,0.000008632776,0.7361784,0.02205482,0.07484196],"study_design_scores_gemma":[0.0004779132,0.0002989455,0.0006946051,0.0001300611,0.0000903078,0.000007823281,0.0000682184,0.9421225,0.00001892187,0.05435943,0.001197024,0.0005342393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2091403,0.00001178171,0.7872418,0.0001012894,0.0009121678,0.0008595656,0.00001323847,0.0001653499,0.001554466],"genre_scores_gemma":[0.9744175,0.00004753536,0.02280743,0.0001139884,0.0001157032,0.00001505271,0.00005561166,0.00002226246,0.002404925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7843292,"threshold_uncertainty_score":0.9998988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06500545824141932,"score_gpt":0.1799142501635871,"score_spread":0.1149087919221677,"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."}}