{"id":"W2134975511","doi":"10.1088/1748-0221/6/11/c11004","title":"X-ray interaction-induced signal and noise performances of edge-on silicon microstrip detectors for digital mammography","year":2011,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Digital mammography; Detector; Mammography; Noise (video); SIGNAL (programming language); Microstrip; Enhanced Data Rates for GSM Evolution; Silicon; Materials science; Computer science; Acoustics; Physics; Optoelectronics; Optics; Telecommunications; Medicine; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00005981195,0.00008379116,0.0001200655,0.0001863471,0.00003440794,0.00002393179,0.00004713705,0.00002598343,0.00001309876],"category_scores_gemma":[0.000009718354,0.00007454854,0.00006492279,0.00007774247,0.00002077459,0.0008715166,0.000004243215,0.00009865204,6.825224e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002677114,"about_ca_system_score_gemma":0.000007962331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001623605,"about_ca_topic_score_gemma":8.2568e-7,"domain_scores_codex":[0.9994763,0.000004834179,0.0002969324,0.0000504102,0.00008519382,0.00008633649],"domain_scores_gemma":[0.9996451,0.00003615888,0.0001818521,0.00003512774,0.00006316203,0.00003857426],"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":[0.0005554883,0.00007415841,0.02646504,0.0001493788,0.0001386347,0.000001907305,0.002736283,0.002614115,0.6853942,0.00001965451,0.00003117607,0.28182],"study_design_scores_gemma":[0.001239933,0.0008275582,0.03399325,0.0001667654,0.0000394325,0.00002982113,0.002399628,0.002969425,0.957914,0.0002039375,0.00008092318,0.000135362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995858,0.00005175515,0.003407469,0.000004866704,0.0003617856,0.00008323516,0.000006357467,0.00001066543,0.0002158253],"genre_scores_gemma":[0.9985589,0.00003887611,0.001311112,0.000009079446,0.00006422483,0.000002885185,0.00000231609,0.00001035957,0.000002214186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2816846,"threshold_uncertainty_score":0.3040001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674331535356289,"score_gpt":0.2312475362327958,"score_spread":0.2145042208792329,"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."}}