{"id":"W2497858047","doi":"10.1017/cbo9781316091548.002","title":"Introduction to on-shell functions and diagrams","year":2016,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Shell (structure); Content (measure theory); Computer science; Information retrieval; Mathematics; Engineering; Mechanical engineering; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006181449,0.001411208,0.001026636,0.002323527,0.0009842485,0.002665756,0.001272614,0.001003996,0.1143252],"category_scores_gemma":[0.002324131,0.0006787368,0.001092746,0.002398735,0.001869548,0.004529797,0.001268017,0.003021253,0.05996358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120753,"about_ca_system_score_gemma":0.0009732553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059039,"about_ca_topic_score_gemma":0.001256044,"domain_scores_codex":[0.9996272,0.00007357857,0.00002220299,0.00007742057,0.0001672967,0.0000322889],"domain_scores_gemma":[0.9993114,0.0003370677,0.00002393471,0.0001341709,0.0001473029,0.00004598465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001979781,0.00002931515,0.0000833549,0.0003915258,0.000009052512,0.0000798022,0.0002201313,0.001536761,0.0007594901,0.6923974,0.161093,0.1433803],"study_design_scores_gemma":[0.000002754117,0.000009276806,0.000105269,0.0001429488,0.000003404684,0.0001765807,0.00002269525,0.0009113667,0.0003078476,0.3959613,0.6023449,0.00001164283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001414522,0.02781647,0.2610205,0.00252307,0.003227855,0.00008432913,0.001903598,0.003595473,0.6984141],"genre_scores_gemma":[0.03787379,0.03916136,0.1238915,0.001877733,0.003008537,0.0002799127,0.003339918,0.005799871,0.7847675],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1143252,"threshold_uncertainty_score":0.3824559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0419219445829604,"score_gpt":0.2457349158045646,"score_spread":0.2038129712216042,"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."}}