{"id":"W1943533020","doi":"10.1007/s10751-015-1202-4","title":"Antiproton cloud compression in the ALPHA apparatus at CERN","year":2015,"lang":"en","type":"article","venue":"Hyperfine Interactions","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF; York University; University of Calgary; Simon Fraser University; University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Large Hadron Collider; Antiproton; Nuclear physics; Cloud computing; Alpha (finance); Physics; Particle physics; Computer science; Political science; Operating system; Proton","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006521183,0.00009815196,0.0001021347,0.00002703651,0.00009709297,0.00003015841,0.000146189,0.00001634014,0.000169111],"category_scores_gemma":[0.00000364808,0.0000706023,0.00006178035,0.0001127369,0.00002664373,0.0000986037,0.0000731604,0.0001973619,0.0003403946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003488686,"about_ca_system_score_gemma":0.00002841669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000271159,"about_ca_topic_score_gemma":0.00001165452,"domain_scores_codex":[0.9994157,0.00005975928,0.0001335449,0.0001386629,0.0001087082,0.0001436115],"domain_scores_gemma":[0.9995909,0.00003166393,0.00005532401,0.0002357457,0.00003741391,0.00004891044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000449089,0.003234803,0.219776,0.0000269199,0.00027534,0.00004742837,0.01314154,0.002749882,0.06264552,0.07088734,0.5838157,0.04295046],"study_design_scores_gemma":[0.001092608,0.00004871193,0.002294865,0.0000472193,0.00003300282,0.00002121653,0.002513096,0.003120912,0.01797069,0.003136208,0.9694778,0.00024368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9179991,0.00004487404,0.004387926,0.0007052746,0.0005003698,0.00030187,0.00001522796,0.00002214581,0.07602324],"genre_scores_gemma":[0.9978127,8.916134e-7,0.00006816114,0.0001739872,0.0004481926,0.0000529196,0.00007206209,0.00001198624,0.001359108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3856621,"threshold_uncertainty_score":0.4375197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436296186318011,"score_gpt":0.298366706017636,"score_spread":0.2640037441544559,"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."}}