{"id":"W2001140031","doi":"10.1118/1.2008428","title":"Indirect flat‐panel detector with avalanche gain: Fundamental feasibility investigation for SHARP‐AMFPI (scintillator HARP active matrix flat panel imager)","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Avalanche photodiode; Scintillator; Optics; Active matrix; Detector; Detective quantum efficiency; Physics; HARP; Digital radiography; Optoelectronics; Flat panel detector; Avalanche diode; Dynamic range; Materials science; Voltage; Radiography; Thin-film transistor; Breakdown voltage; Image quality; Layer (electronics); Computer science; Nuclear physics; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005127232,0.000451444,0.0003515319,0.000163733,0.000180739,0.000609075,0.0008936236,0.0007258644,0.0009952376],"category_scores_gemma":[0.0006698578,0.0003691062,0.0003355935,0.0001799654,0.0002993548,0.0008622779,0.0003536348,0.0005011286,0.0003218352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005690592,"about_ca_system_score_gemma":0.0004406691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009595805,"about_ca_topic_score_gemma":0.001178074,"domain_scores_codex":[0.9996557,0.00003838262,0.000005814665,0.00009326846,0.0001607909,0.00004599308],"domain_scores_gemma":[0.9996848,0.00008974071,0.00004347261,0.00003041182,0.0001166804,0.00003494879],"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":[0.00009830868,0.00003681183,0.001133735,0.0001341599,0.0000204202,0.0001797193,0.00007298752,0.001298492,0.9877285,0.0009421267,0.000185398,0.008169414],"study_design_scores_gemma":[0.00003819604,0.001659525,0.006261922,0.00001464441,0.00006074327,0.001054362,0.00007183386,0.033824,0.9532303,0.0002162018,0.003523808,0.00004445789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195511,0.001677259,0.1718757,0.0003541684,0.00003580141,0.0003193749,0.0002489791,0.0007395102,0.005198189],"genre_scores_gemma":[0.8908643,0.0004934529,0.1060819,0.0000609635,0.00001524284,0.00008207831,0.0001349524,0.00003408054,0.002233031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009952376,"threshold_uncertainty_score":0.004128814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166160910629627,"score_gpt":0.2915626934947596,"score_spread":0.2499010843884633,"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."}}