{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009021389,0.00123584,0.001127832,0.0005805303,0.0003300372,0.002237547,0.001605022,0.001482231,0.02238981],"category_scores_gemma":[0.00130064,0.0008461826,0.0005112635,0.0009563154,0.0004760619,0.003246719,0.001147315,0.001385576,0.01349689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166713,"about_ca_system_score_gemma":0.000823678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007959191,"about_ca_topic_score_gemma":0.002008936,"domain_scores_codex":[0.9995219,0.00007170929,0.00003094514,0.0001315143,0.0001815617,0.00006233671],"domain_scores_gemma":[0.9995362,0.0001464818,0.00004940404,0.0001085777,0.0001166708,0.00004265365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006250339,0.0002640436,0.0008800423,0.0003498067,0.00005799583,0.0007407858,0.00007704493,0.002485965,0.9052298,0.01336182,0.01679905,0.05912866],"study_design_scores_gemma":[0.00008021003,0.0001955321,0.000588311,0.00003385334,0.00005785311,0.0006691278,0.00002106119,0.01626213,0.9020761,0.0005849487,0.07935843,0.00007243588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1854171,0.005575927,0.7161859,0.001919696,0.001190563,0.0005425423,0.003806636,0.01737429,0.06798725],"genre_scores_gemma":[0.2814868,0.002770506,0.6225571,0.00161178,0.0001876971,0.0007021231,0.008450948,0.002343299,0.07988975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02238981,"threshold_uncertainty_score":0.07490134,"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."}}