{"id":"W1995068296","doi":"10.1117/12.653764","title":"Selective photon counter for digital x-ray mammography tomosynthesis","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Sunnybrook Health Science Centre; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tomosynthesis; Photon counting; Digital mammography; Pixel; Mammography; Detective quantum efficiency; Optics; Photon; Comparator; Charge sharing; Physics; Detector; Linearity; CMOS; Noise (video); Computer science; Optoelectronics; Image quality; Voltage; Computer vision; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002767163,0.0004074978,0.0004445746,0.0001417131,0.00009823596,0.0001819709,0.000667097,0.000178491,0.000007434364],"category_scores_gemma":[0.0001998891,0.0003682091,0.0008162598,0.0003836536,0.000180626,0.0009611446,0.00006773626,0.0002770165,0.000001562991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835391,"about_ca_system_score_gemma":0.00001582951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004885283,"about_ca_topic_score_gemma":1.833616e-7,"domain_scores_codex":[0.9979357,6.225012e-9,0.0006494167,0.0003721719,0.0005026619,0.0005400492],"domain_scores_gemma":[0.9982859,0.0002047711,0.0002021436,0.00005790457,0.001156158,0.00009315965],"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":[0.0001771731,0.0001877228,0.0009479497,0.001177764,0.0008784801,1.352431e-7,0.0002172567,0.004112269,0.7758066,0.2066157,0.008976704,0.0009022073],"study_design_scores_gemma":[0.002705575,0.0004627371,0.001625585,0.0007561393,0.0004024025,0.00002421179,0.001940286,0.17008,0.7741412,0.01237062,0.03404657,0.001444701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913847,0.0001822002,0.001136667,0.0003631432,0.0002697552,0.000713374,0.0001922822,0.0002723236,0.005485498],"genre_scores_gemma":[0.9245884,0.00005447114,0.07398573,0.00004863331,0.0005730517,0.0003910119,0.00002302116,0.0001329099,0.0002026964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1942451,"threshold_uncertainty_score":0.999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005299776848578491,"score_gpt":0.2005111247074119,"score_spread":0.1952113478588334,"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."}}