{"id":"W1993083963","doi":"10.1049/ip-cds:20020350","title":"Direct-conversion flat-panel X-ray image detectors","year":2002,"lang":"en","type":"article","venue":"IEE Proceedings - Circuits Devices and Systems","topic":"Advanced Semiconductor Detectors and Materials","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; University of Saskatchewan","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Flat panel detector; X-ray detector; Detector; Fluoroscopy; Flat panel; X-ray; Digital radiography; Optics; Detective quantum efficiency; Radiography; Sensitivity (control systems); Medical physics; Dark current; Computer science; Physics; Optoelectronics; Computer vision; Electronic engineering; Image (mathematics); Image quality; Engineering","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":[0.0001994275,0.0003067542,0.0004396666,0.0005563402,0.0002358424,0.001060294,0.001047082,0.0007459582,0.01472455],"category_scores_gemma":[0.0007732298,0.0003558928,0.0002482987,0.0006277314,0.0002079283,0.0006643318,0.0003707255,0.0006266201,0.005554706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002904811,"about_ca_system_score_gemma":0.0002907288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003802041,"about_ca_topic_score_gemma":0.000992686,"domain_scores_codex":[0.9995691,0.00002586519,0.00001454936,0.00005642843,0.0003034354,0.00003072493],"domain_scores_gemma":[0.9995062,0.0001461129,0.00003116285,0.00005865111,0.0002290903,0.0000286033],"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":[0.0005008876,0.0001314345,0.001959668,0.0008902432,0.0000499778,0.000684676,0.0001582066,0.001472199,0.6136534,0.008937581,0.01770835,0.3538535],"study_design_scores_gemma":[0.00006542053,0.0005415214,0.009622302,0.00006774852,0.00006914466,0.004430053,0.0001204594,0.01271813,0.8585897,0.002361361,0.1113252,0.00008887109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1429268,0.01089266,0.7182731,0.0007243477,0.0005958575,0.0006820658,0.002693686,0.008895752,0.1143158],"genre_scores_gemma":[0.564878,0.005926089,0.2622384,0.0005670831,0.0001732067,0.0002489247,0.001626811,0.0004120141,0.1639294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01472455,"threshold_uncertainty_score":0.04925853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489540107055355,"score_gpt":0.2056267412048466,"score_spread":0.180731340134293,"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."}}