{"id":"W2087197928","doi":"10.1016/j.apradiso.2013.02.002","title":"Performance evaluation and optimization for a newly developed digital list-mode data acquisition Compton suppression spectrometer","year":2013,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Spectrometer; Coincidence; Physics; Data acquisition; Compton scattering; Mode (computer interface); Optics; Nuclear physics; Computer science; Photon","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":[0.001400402,0.0008123724,0.0006617763,0.0008532421,0.0008154526,0.00116676,0.002041878,0.0006489797,0.004699947],"category_scores_gemma":[0.001746382,0.0004783574,0.0002919295,0.0009565254,0.0003387381,0.001194054,0.0007372395,0.0003801983,0.001330566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197134,"about_ca_system_score_gemma":0.001921693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003250363,"about_ca_topic_score_gemma":0.00503404,"domain_scores_codex":[0.9991373,0.00009150952,0.00004734348,0.0001781702,0.0004770293,0.00006868357],"domain_scores_gemma":[0.998665,0.0004444419,0.00008395945,0.000115723,0.0005834659,0.000107485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00356605,0.0004989107,0.01222544,0.0005233765,0.0001602991,0.0001741859,0.0002168665,0.008241242,0.7893411,0.001868083,0.004173105,0.1790112],"study_design_scores_gemma":[0.0002688045,0.001490469,0.00921391,0.00001838424,0.0001679078,0.0004857696,0.00008687221,0.1266801,0.8440655,0.0002524653,0.01717245,0.00009727853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5860729,0.001219941,0.3902996,0.0007686568,0.0001743953,0.0007183676,0.001227001,0.0122636,0.007255546],"genre_scores_gemma":[0.6101868,0.0004380889,0.3773596,0.0004515119,0.00009234216,0.0003588973,0.002054336,0.0008023411,0.008256149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004699947,"threshold_uncertainty_score":0.01572287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875573255912575,"score_gpt":0.2658892925249038,"score_spread":0.247133559965778,"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."}}