{"id":"W2765165805","doi":"10.1103/physrevlett.120.141602","title":"Scattering Amplitudes from Intersection Theory","year":2018,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Institut Périmètre de physique théorique; Ontario Ministry of Research, Innovation and Science; Government of Canada; Innovation, Science and Economic Development Canada","keywords":"Moduli space; Intersection (aeronautics); Scattering amplitude; Hyperplane; Physics; Quantum field theory; Field theory (psychology); Scattering; Intersection theory; Riemann hypothesis; Field (mathematics); Mathematical physics; Tree (set theory); Riemann surface; Theoretical physics; Moduli; Mathematics; Quantum mechanics; Pure mathematics; Mathematical analysis; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009916764,0.001047014,0.0008925064,0.00340296,0.001915428,0.0033311,0.001658382,0.002039311,0.01317894],"category_scores_gemma":[0.003839803,0.0005552055,0.001130314,0.001765449,0.002873279,0.006524659,0.002842623,0.003022995,0.001364752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576054,"about_ca_system_score_gemma":0.000624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007262791,"about_ca_topic_score_gemma":0.0004892934,"domain_scores_codex":[0.9988537,0.0002265972,0.00006271851,0.0001441179,0.0004991049,0.0002136738],"domain_scores_gemma":[0.9988217,0.0004294946,0.0001166681,0.0001775259,0.0002373598,0.0002172667],"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":[0.000006551346,0.00000861758,0.00008381478,0.00001633317,0.000002637302,0.00007009815,0.0001098413,0.0008002319,0.0007122625,0.9964251,0.0003508677,0.001413621],"study_design_scores_gemma":[0.000007592277,0.000008869662,0.000119289,0.00001692265,0.000003930295,0.000168174,0.00007296079,0.01958917,0.001018574,0.9778553,0.001123941,0.00001522292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3327285,0.001081646,0.3911936,0.001857837,0.0009439,0.0001417445,0.0003225574,0.0006049296,0.2711253],"genre_scores_gemma":[0.9524083,0.0005105232,0.02848928,0.0003064008,0.0003826633,0.000105217,0.0002455992,0.000231494,0.01732058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01317894,"threshold_uncertainty_score":0.04408795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118648020584182,"score_gpt":0.2782004199323452,"score_spread":0.2670139397265033,"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."}}