{"id":"W2134300587","doi":"10.1109/nssmic.1997.672620","title":"The response of a gas proportional scintillation counter to conversion electrons: simulation and experimental results","year":2002,"lang":"en","type":"article","venue":"1997 IEEE Nuclear Science Symposium Conference Record","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Graduate and Professional Student Council, University of Arizona","keywords":"Monte Carlo method; Proportional counter; Physics; Analyser; Scintillation counter; Xenon; Scintillation; Electron; Atomic physics; Nuclear physics; Computational physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006148993,0.0004239058,0.0005088889,0.0002533493,0.0003151886,0.0004517415,0.0007471026,0.0008685498,0.002618134],"category_scores_gemma":[0.00273645,0.0002120274,0.0003357226,0.0005612361,0.0005256327,0.0003720655,0.0001918757,0.0003159329,0.0002409921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030874,"about_ca_system_score_gemma":0.0006693926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006240473,"about_ca_topic_score_gemma":0.001649346,"domain_scores_codex":[0.9996494,0.00009355303,0.00001662593,0.00004161352,0.0001423272,0.00005649068],"domain_scores_gemma":[0.9978981,0.001473217,0.00009890431,0.0001271163,0.0003611895,0.00004150196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005350852,0.00007237696,0.003519571,0.0001005254,0.00003344196,0.00008561379,0.0000563091,0.9708701,0.01633511,0.001327762,0.0004068408,0.006657347],"study_design_scores_gemma":[0.00002516377,0.0001070711,0.0007960919,0.000005304284,0.00001280146,0.0000349388,0.00001716685,0.9783358,0.02008358,0.0002164548,0.0003543096,0.00001124855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511369,0.0003833582,0.03752152,0.0001935299,0.00003826848,0.00006821092,0.0003543439,0.001561267,0.008742613],"genre_scores_gemma":[0.9937271,0.00008735403,0.004965226,0.00003044647,0.000003886608,0.00004008171,0.0001292199,0.00005141757,0.0009652335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006240473,"threshold_uncertainty_score":0.01240832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823431033284096,"score_gpt":0.2634071873458939,"score_spread":0.245172877013053,"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."}}