{"id":"W4238819804","doi":"10.1109/nssmic.1998.775127","title":"Weighting potentials in cdznte γ-ray detectors with segmented electrodes","year":2005,"lang":"en","type":"article","venue":"1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Weighting; Detector; Electrode; Computer science; Optics; Artificial intelligence; Physics; Acoustics","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","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.002844045,0.0009841999,0.001024791,0.001551468,0.002156687,0.00228142,0.003114779,0.0002758799,0.0006522899],"category_scores_gemma":[0.0001908185,0.0008439065,0.0002072207,0.003157293,0.00708643,0.003767252,0.0004877158,0.001140955,0.000605997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005393612,"about_ca_system_score_gemma":0.002226393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124368,"about_ca_topic_score_gemma":0.0001754208,"domain_scores_codex":[0.9903505,0.0002071023,0.001309558,0.0026282,0.00288534,0.002619304],"domain_scores_gemma":[0.9956815,0.0001780152,0.0007239724,0.001203971,0.0007561716,0.001456431],"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":[0.00009358489,0.0002512302,0.008164094,0.00003921654,0.00003319274,0.00002154312,0.001896462,0.0002957663,0.9208832,0.001660004,0.0002098434,0.06645187],"study_design_scores_gemma":[0.001526477,0.0003889239,0.001912447,0.0005212383,0.00005925149,0.00008775371,0.002959859,0.9681365,0.01763836,0.0001374329,0.00525415,0.001377603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852489,0.00000569699,0.001665765,0.003851135,0.001618498,0.0007208241,0.00002195489,0.0006292101,0.006238077],"genre_scores_gemma":[0.9834982,0.0003427754,0.01446255,0.0007113632,0.0005011262,0.00004471384,0.000002650275,0.00009765001,0.000339005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9678407,"threshold_uncertainty_score":0.9994012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006408451686573954,"score_gpt":0.232250671695717,"score_spread":0.225842220009143,"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."}}