{"id":"W2117960258","doi":"10.1109/nssmic.1995.510450","title":"Imaging performance of PEM-1: a high resolution system for positron emission mammography","year":2002,"lang":"en","type":"article","venue":"1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Cancer Institute; Medical Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Mammography; Positron emission tomography; Scanner; Photomultiplier; Nuclear medicine; Positron; Image resolution; Positron emission; Physics; Coincidence; Full width at half maximum; Breast imaging; Optics; Detector; Medicine; Breast cancer; Nuclear physics; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009283818,0.0002083332,0.0003861163,0.0003057652,0.0004131839,0.00008254011,0.0003886106,0.00008174957,0.0001014673],"category_scores_gemma":[0.0001579519,0.0001709154,0.00009861695,0.0005323095,0.001466339,0.0003262168,0.0001045353,0.0003159521,0.000007930484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009619389,"about_ca_system_score_gemma":0.0001624315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001540675,"about_ca_topic_score_gemma":5.850657e-7,"domain_scores_codex":[0.9974171,0.00003034565,0.0004937675,0.0005984986,0.0009079046,0.000552398],"domain_scores_gemma":[0.998251,0.00007331905,0.0001910328,0.0004151017,0.0003519243,0.0007176663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001543004,0.0003440975,0.0170522,0.001279437,0.00002026956,0.00002178317,0.0005686035,6.412475e-7,0.6843569,0.002868928,0.0108964,0.2824364],"study_design_scores_gemma":[0.001101389,0.0002509544,0.001445174,0.002120108,0.0001001135,0.0003437017,0.000286544,0.9767171,0.008911868,0.0000626473,0.008390908,0.0002695468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644583,0.0001169364,0.01120969,0.01882934,0.0005479002,0.0008127251,0.00001200033,0.0003854558,0.003627686],"genre_scores_gemma":[0.9774033,0.0008039292,0.0208963,0.0005395325,0.0001533878,0.00004293473,0.000004490251,0.00002546719,0.0001306023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9767164,"threshold_uncertainty_score":0.696973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466920908876693,"score_gpt":0.2646876053676498,"score_spread":0.2500183962788828,"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."}}