{"id":"W4393064076","doi":"10.48550/arxiv.2403.13049","title":"Higher Operations in Perturbation Theory","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Colleges and Universities; Innovation, Science and Economic Development Canada; Institut Périmètre de physique théorique; Krembil Foundation; Government of Canada; UK Research and Innovation","keywords":"Computer science; Mathematics; Mathematical economics","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":[0.001335507,0.0004804751,0.0004523023,0.0008416285,0.0008798284,0.001801457,0.0007119756,0.0007330481,0.004489037],"category_scores_gemma":[0.002436317,0.0001583927,0.0006744,0.0007053037,0.004344525,0.003324933,0.001351209,0.001606896,0.0003970178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108057,"about_ca_system_score_gemma":0.0005559874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007247491,"about_ca_topic_score_gemma":0.0003328825,"domain_scores_codex":[0.9991663,0.0003828332,0.00003342612,0.0000946004,0.0002080575,0.0001147865],"domain_scores_gemma":[0.9985729,0.0007897741,0.000137388,0.0002527511,0.0001097278,0.0001374004],"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":[0.000003649501,0.000006142546,0.00005791484,0.000007503445,0.000001577914,0.00001441535,0.00005624498,0.00431743,0.0002046618,0.9939167,0.0001328864,0.00128082],"study_design_scores_gemma":[0.000003298711,0.00001006556,0.00003703968,0.000003684051,0.000001274414,0.00001412905,0.00001940221,0.02232087,0.0001473587,0.9765202,0.0009183491,0.000004425468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2997203,0.002920777,0.5876452,0.003732846,0.0005533204,0.0001017426,0.0001650279,0.0003641834,0.1047967],"genre_scores_gemma":[0.9533155,0.0006139168,0.0401253,0.0001823383,0.0002028701,0.00005462012,0.00005005981,0.00005600298,0.005399444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004489037,"threshold_uncertainty_score":0.01501733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2344072279428942,"score_gpt":0.3032046258468767,"score_spread":0.06879739790398251,"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."}}