{"id":"W2619880418","doi":"10.1140/epjc/s10052-017-5321-8","title":"GAMBIT: the global and modular beyond-the-standard-model inference tool","year":2017,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"H2020 Marie Skłodowska-Curie Actions; Academic Computer Centre Cyfronet, AGH University of Science and Technology; Fonds de recherche du Québec – Nature et technologies; Australian Research Council; Science and Technology Facilities Council; Horizon 2020 Framework Programme; Norges Forskningsråd; Natural Sciences and Engineering Research Council of Canada; Knut och Alice Wallenbergs Stiftelse; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission; National Science Foundation; Royal Society; Infrastruktura PL-Grid; University of Sydney; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Banff International Research Station for Mathematical Innovation and Discovery; University of Glasgow; Vetenskapsrådet","keywords":"Gambit; Modular design; Computer science; Inference; Interfacing; Trinomial; Programming language; Simulation; Artificial intelligence; Mathematics; Computer hardware","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":[0.005203561,0.00247657,0.002190995,0.002325673,0.0009229538,0.003473264,0.005560807,0.00212186,0.08807665],"category_scores_gemma":[0.02884443,0.002143303,0.002504298,0.002410147,0.0009137404,0.003979995,0.005104437,0.004729085,0.0372388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007123903,"about_ca_system_score_gemma":0.002112099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003788804,"about_ca_topic_score_gemma":0.003959501,"domain_scores_codex":[0.9978036,0.00108464,0.0000899033,0.000293699,0.0005432835,0.0001848128],"domain_scores_gemma":[0.9940286,0.0038307,0.0002658474,0.001078432,0.0005592215,0.0002372829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006736808,0.0002113301,0.008649905,0.001260245,0.0009395445,0.0006356769,0.0004237294,0.1689382,0.002273146,0.1984558,0.4067999,0.2107387],"study_design_scores_gemma":[0.0001930149,0.00005751898,0.001554079,0.0002770961,0.0001568977,0.0004143856,0.00008439204,0.5175893,0.00381244,0.3367706,0.1389067,0.0001835541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002268872,0.000306408,0.8965732,0.0005352912,0.0001604463,0.00008120134,0.008372704,0.08505015,0.006651576],"genre_scores_gemma":[0.06521578,0.0006290558,0.8187494,0.00113138,0.0001697323,0.0008947697,0.01837044,0.08764049,0.007198902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08807665,"threshold_uncertainty_score":0.2946457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886563752408074,"score_gpt":0.2978477445220351,"score_spread":0.2789821069979543,"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."}}