{"id":"W4285036470","doi":"10.18429/jacow-ipac2010-thpec090","title":"The EMMA Non-scaling FFAG","year":2010,"lang":"en","type":"paratext","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Scaling; Computer science; Nuclear engineering; Physics; Nuclear physics; Engineering; Mathematics","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":[0.002899996,0.0005725611,0.0005092339,0.0008354409,0.00140803,0.002728415,0.001103556,0.001501822,0.03307693],"category_scores_gemma":[0.00463606,0.0003986782,0.0005229207,0.0007188243,0.0007157442,0.004567824,0.002102027,0.00180414,0.01225561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399249,"about_ca_system_score_gemma":0.002289102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462234,"about_ca_topic_score_gemma":0.002523413,"domain_scores_codex":[0.998325,0.0005121921,0.0000478133,0.0001971374,0.0006776694,0.0002401881],"domain_scores_gemma":[0.9983875,0.0002523246,0.00004151488,0.0006898767,0.0004771514,0.0001516941],"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":[0.0007111838,0.0001936654,0.0008521291,0.0002531376,0.00001748749,0.0002622713,0.0003110554,0.007427521,0.01399097,0.3996542,0.2997408,0.2765856],"study_design_scores_gemma":[0.0001106611,0.0002495439,0.0007789956,0.0001297216,0.00001107073,0.0002608067,0.00009079825,0.02704365,0.01109874,0.09634411,0.8638307,0.00005122509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04067003,0.003129073,0.3004728,0.01217607,0.005192772,0.0005575769,0.002403648,0.01909089,0.6163072],"genre_scores_gemma":[0.3689205,0.002222834,0.2233327,0.003963099,0.001095666,0.00111731,0.006538638,0.00656784,0.3862414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03307693,"threshold_uncertainty_score":0.1106534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396754177712432,"score_gpt":0.272304367829533,"score_spread":0.2483368260524087,"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."}}