{"id":"W2075358492","doi":"10.1109/tns.2015.2388757","title":"Improved LabPET Detectors Using <formula formulatype=\"inline\"><tex Notation=\"TeX\">${\\rm Lu}_{1.8}{\\rm Gd}_{0.2}{\\rm SiO}_{5}\\!\\!:{\\rm Ce}$</tex></formula> (LGSO) Scintillator Blocks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Scintillator; Physics; Analytical Chemistry (journal); Detector; Optics; Chemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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","sts"],"consensus_categories":[],"category_scores_codex":[0.001241292,0.001079115,0.0009645482,0.001545144,0.002607847,0.0009646443,0.00169783,0.0005289675,0.0006919508],"category_scores_gemma":[0.0001317488,0.001035576,0.000666899,0.003788139,0.001236356,0.002264043,0.00007300022,0.001112637,0.0005409829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009111247,"about_ca_system_score_gemma":0.0009093841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000188193,"about_ca_topic_score_gemma":0.000219889,"domain_scores_codex":[0.9929389,0.0001111002,0.0014462,0.001837604,0.001885789,0.001780377],"domain_scores_gemma":[0.9952018,0.0002012927,0.0007855858,0.001772343,0.001051304,0.0009876593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007624199,0.00177924,0.0007030806,0.0001233869,0.0006285055,0.0000284313,0.005174196,0.323933,0.4733723,0.007116795,0.002473043,0.1839056],"study_design_scores_gemma":[0.003365806,0.0009120585,0.0008038732,0.0001431346,0.0002317074,0.00005406141,0.001695036,0.878499,0.06744993,0.0005217469,0.04432948,0.001994146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758456,0.00007373517,0.01533938,0.0004473584,0.00326803,0.001237039,0.0002127226,0.001241812,0.002334291],"genre_scores_gemma":[0.9916783,0.00003665685,0.006006064,0.0002577277,0.0003714076,0.00006252414,0.000004042106,0.0001810295,0.001402273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.554566,"threshold_uncertainty_score":0.9992095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030649019878239,"score_gpt":0.2556689022937949,"score_spread":0.2353624120950125,"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."}}