{"id":"W4386810286","doi":"10.2172/2000360","title":"Photon-to-Digital Converters for Neutron Imaging Instruments, Final Report","year":2023,"lang":"en","type":"report","venue":"","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Silicon photomultiplier; Physics; Preamplifier; Photomultiplier; Photon counting; Photonics; Amplifier; Scintillator; Neutron; Converters; Avalanche photodiode; Detector; Electronic engineering; Optics; Optoelectronics; Engineering; CMOS; Nuclear physics; Voltage","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001367735,0.0003161968,0.0003820584,0.00009961773,0.0001567942,0.0002635348,0.0002556329,0.00004858317,0.0002563907],"category_scores_gemma":[0.000006510415,0.0003172566,0.0003476844,0.0001769679,0.00003297958,0.0001329776,0.0001635499,0.0001953827,0.00044658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009979998,"about_ca_system_score_gemma":0.0005311384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006027696,"about_ca_topic_score_gemma":0.000002433057,"domain_scores_codex":[0.9981436,0.000003560066,0.0004731355,0.0006188636,0.0003627632,0.0003981309],"domain_scores_gemma":[0.9987172,0.000037284,0.0002831668,0.0005432805,0.0002609853,0.0001580641],"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":[0.00001209623,0.0001860998,0.006218912,0.00008491937,0.0003639715,0.00001162645,0.0000433441,0.0000126984,0.0003213514,0.008675255,0.7780496,0.2060201],"study_design_scores_gemma":[0.0002894243,0.00002135271,0.0007104176,0.00006360334,0.0000735645,0.000009893814,0.0001250988,0.0005315527,0.0002289614,0.003926785,0.9935616,0.0004577325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03002048,0.00001182151,0.01753101,0.001597374,0.003156817,0.003855603,0.004178453,0.0005794445,0.939069],"genre_scores_gemma":[0.8340169,0.000006093722,0.001047031,0.0001751936,0.002709613,0.001147979,0.005628527,0.000308389,0.1549602],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8039964,"threshold_uncertainty_score":0.9999279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542457781053028,"score_gpt":0.332612447114899,"score_spread":0.2771878693043687,"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."}}