{"id":"W2010276144","doi":"10.1016/j.nima.2010.09.082","title":"Finding the best photoconductor for digital mammography detectors","year":2010,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Detective quantum efficiency; Optical transfer function; Detector; Mammography; Monte Carlo method; Digital mammography; Optics; Noise (video); Quantum noise; Physics; Digital radiography; Materials science; Quantum; Image quality; Computer science; Mathematics; Radiography; Medicine; Statistics; Nuclear physics; Image (mathematics)","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":[0.0016094,0.001050915,0.001242993,0.001357713,0.001354465,0.001993183,0.002288889,0.002111053,0.01105154],"category_scores_gemma":[0.005034967,0.001057814,0.0008162393,0.0008537874,0.0005291057,0.004783469,0.0008718079,0.001109417,0.00398289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019486,"about_ca_system_score_gemma":0.001437614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001442018,"about_ca_topic_score_gemma":0.003460393,"domain_scores_codex":[0.9989281,0.0001545158,0.00009380605,0.0003944903,0.0003007307,0.000128281],"domain_scores_gemma":[0.996765,0.000746505,0.000487705,0.0003761206,0.001432294,0.0001924483],"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":[0.0009951461,0.0002932073,0.006839894,0.001391402,0.0001605528,0.0004100482,0.0002025154,0.003582723,0.7758774,0.003497992,0.008289471,0.1984596],"study_design_scores_gemma":[0.0001433388,0.001328759,0.005152968,0.0003065421,0.0003719075,0.0009587984,0.0003584396,0.02025731,0.9376404,0.002927674,0.03042013,0.0001338184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5087092,0.02200078,0.418548,0.01029437,0.001418242,0.001395567,0.001262796,0.009551425,0.02681969],"genre_scores_gemma":[0.6405868,0.003499667,0.340708,0.001054259,0.0003045187,0.000259753,0.0005313494,0.0008658685,0.0121898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105154,"threshold_uncertainty_score":0.03697109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05782685979606871,"score_gpt":0.3963377814203649,"score_spread":0.3385109216242961,"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."}}