{"id":"W1994936225","doi":"10.1088/1742-6596/262/1/012001","title":"Antiparticle sources for antihydrogen production and trapping","year":2011,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; York University; TRIUMF; University of Calgary; Simon Fraser University","funders":"Engineering and Physical Sciences Research Council","keywords":"Antihydrogen; Antiproton; Physics; Nuclear physics; Antiparticle; Large Hadron Collider; Context (archaeology); Antimatter; Trapping; CPT symmetry; Particle physics; Atomic physics; Positron; Electron; Proton; Geography","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":[0.00009351146,0.00009334332,0.0001750894,0.00001724027,0.00008818582,0.00003229306,0.00007833482,0.00001459733,0.00001580804],"category_scores_gemma":[0.000005676663,0.00008057498,0.0000814568,0.00005434138,0.00009257491,0.000445374,0.00001842722,0.00007383389,9.612125e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003549347,"about_ca_system_score_gemma":0.00006917476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007123131,"about_ca_topic_score_gemma":5.771674e-7,"domain_scores_codex":[0.999492,0.00001649815,0.0001895737,0.00009468456,0.00007836502,0.0001288879],"domain_scores_gemma":[0.9994373,0.000008796287,0.0002341673,0.00007823697,0.0001915577,0.00004995606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002367408,0.0003054409,0.03212063,0.00005334217,0.0004175725,0.000002246716,0.01284866,0.00003281808,0.2591913,0.5058115,0.0002731654,0.1887067],"study_design_scores_gemma":[0.000224873,0.0001299031,0.0008237226,0.00004006405,0.00005878595,0.000005073688,0.001835808,0.00005930618,0.8939614,0.1023884,0.0003649289,0.0001078159],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8391289,0.00003494411,0.1598104,0.00008687666,0.0001110672,0.0000886799,0.000003756478,0.000005672404,0.0007297237],"genre_scores_gemma":[0.9975826,0.000009016762,0.00190784,0.00001041101,0.0003940302,0.000003290692,0.000001349803,0.00001016717,0.00008129157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6347701,"threshold_uncertainty_score":0.3285753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771116809900812,"score_gpt":0.2379174777669365,"score_spread":0.2002063096679284,"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."}}