{"id":"W7014500682","doi":"","title":"Performance improvement of a dual-layered pixellated scintillation block using DETECT2000 Monte Carlo simulations","year":2002,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Monte Carlo method; Block (permutation group theory); Performance improvement; Scintillation; Performance prediction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002588582,0.0007207342,0.0007908263,0.0008314563,0.001058625,0.00008614172,0.0003542784,0.0005787729,0.0007140306],"category_scores_gemma":[0.00008380168,0.0007932968,0.0004098857,0.001113429,0.00006848056,0.0005696968,0.00007802235,0.0009306962,0.00006212506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004380356,"about_ca_system_score_gemma":0.00005909246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004755354,"about_ca_topic_score_gemma":0.0001613244,"domain_scores_codex":[0.9963966,0.00009554427,0.001334134,0.0008686361,0.0007115583,0.0005935431],"domain_scores_gemma":[0.9969307,0.00009341566,0.001352636,0.0007955875,0.0006570911,0.0001705664],"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":[0.0001818346,0.0003153397,0.001789667,0.0003047572,0.0008451681,0.00000395329,0.00005041587,0.5554132,0.1839867,0.0006140951,0.000007504558,0.2564873],"study_design_scores_gemma":[0.002754993,0.0005405461,0.004533385,0.0006405415,0.0006506233,0.000009440307,0.0009938894,0.4753798,0.5042229,0.0007668458,0.007128992,0.002377982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912672,0.0000766362,2.902813e-7,0.000004505685,0.00080183,0.0008987417,0.0008026649,0.0003015562,0.005846548],"genre_scores_gemma":[0.9964307,0.00003878205,0.0002514202,0.00001296513,0.00006564531,0.00004370589,0.00003918446,0.0001359977,0.002981621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3202362,"threshold_uncertainty_score":0.9994518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760851024180018,"score_gpt":0.2371051425059164,"score_spread":0.2194966322641162,"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."}}