{"id":"W2073548321","doi":"10.1016/s0168-9002(01)01056-7","title":"Digital mammography—detector considerations and new applications","year":2001,"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":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Mammography; Digital mammography; Detector; Computer science; Key (lock); Medical physics; Software; Cancer detection; Breast cancer; Medicine; Telecommunications; Cancer; Computer security","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":[0.005429072,0.0009265463,0.00141095,0.002819745,0.0008170183,0.00505076,0.004217098,0.009338753,0.008778992],"category_scores_gemma":[0.007081379,0.001363651,0.0009069809,0.00180958,0.003284511,0.007802436,0.001878294,0.004484121,0.00247931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286606,"about_ca_system_score_gemma":0.001219485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007580814,"about_ca_topic_score_gemma":0.001524295,"domain_scores_codex":[0.9981751,0.0005924866,0.0001776062,0.0003601213,0.0005856007,0.0001090756],"domain_scores_gemma":[0.9945358,0.003716925,0.0001946567,0.0003047685,0.0009652703,0.0002825478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001014223,0.0003329483,0.003985394,0.002983376,0.0001003417,0.002360627,0.0002971088,0.003659765,0.008410741,0.4521171,0.03471238,0.4900261],"study_design_scores_gemma":[0.0001483634,0.0007167989,0.003015952,0.001721276,0.0002266133,0.02072466,0.0003989142,0.01257386,0.01058856,0.1893855,0.7602739,0.0002257195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01119651,0.7116855,0.1131107,0.08665261,0.004379677,0.00009416159,0.0003051441,0.0006580913,0.07191755],"genre_scores_gemma":[0.2645528,0.5033738,0.1455284,0.02736426,0.02045514,0.000283235,0.0003540069,0.0003840791,0.03770426],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009338753,"threshold_uncertainty_score":0.02936864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06084355388500493,"score_gpt":0.3791723864231603,"score_spread":0.3183288325381554,"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."}}