{"id":"W4395660733","doi":"10.2139/ssrn.4808901","title":"Enhancement of Beta Spectrometry Using Double Scintillators and Ml-Based Unfolding","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Scintillator; BETA (programming language); Mass spectrometry; Gamma ray spectrometry; Radiochemistry; Chemistry; Physics; Nuclear physics; Analytical Chemistry (journal); Materials science; Chromatography; Computer science; Optics; Detector","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008196664,0.0003017061,0.000439095,0.0006797138,0.0001633287,0.0001750501,0.0002669083,0.0001607728,0.0001237838],"category_scores_gemma":[0.000004979715,0.0002793711,0.0002656885,0.000359121,0.0000935121,0.00006076534,0.0002781213,0.002602153,0.000005446719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006587767,"about_ca_system_score_gemma":0.001774923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001518861,"about_ca_topic_score_gemma":0.00002470339,"domain_scores_codex":[0.9976391,0.0000337003,0.0005303504,0.0003903887,0.0003109739,0.001095472],"domain_scores_gemma":[0.9990351,0.00002490844,0.0004904668,0.0002880263,0.00009128082,0.00007023552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002317042,0.0002959075,0.05790778,0.0005998529,0.005055573,0.000006724693,0.0004051368,0.03233603,0.02315222,0.8129929,0.0002231962,0.066793],"study_design_scores_gemma":[0.002035058,0.0004307049,0.0002112652,0.0006820036,0.0006314273,0.00006153069,0.003566943,0.02808736,0.1964848,0.7658347,0.0008459525,0.001128255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820173,0.003768676,0.01246631,0.0002599547,0.0007123816,0.0001978376,0.000009223087,0.00006625357,0.0005020152],"genre_scores_gemma":[0.9985692,0.0002791816,0.000619207,0.000006846714,0.0003071188,0.000005586701,0.000001725445,0.00003699201,0.000174178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1733326,"threshold_uncertainty_score":0.9999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467994344140384,"score_gpt":0.2721275257378629,"score_spread":0.2574475822964591,"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."}}