{"id":"W2016705458","doi":"10.1016/j.cpet.2009.12.002","title":"Evolution and Developments in Instrumentation for Positron Emission Mammography","year":2009,"lang":"en","type":"article","venue":"PET Clinics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Instrumentation (computer programming); Medical physics; Positron emission tomography; Detector; Mammography; Breast imaging; Medicine; Systems engineering; Computer science; Nuclear medicine; Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001769338,0.00004831434,0.00009126672,0.00007242504,0.00003314353,0.000006130361,0.00002482798,0.00003403022,0.00000289031],"category_scores_gemma":[0.00007206587,0.00004345161,0.00002249963,0.0001122384,0.00001801524,0.0000348201,0.000007729036,0.00007636067,8.814213e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003304154,"about_ca_system_score_gemma":0.00003243973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005349221,"about_ca_topic_score_gemma":9.790703e-7,"domain_scores_codex":[0.9995029,0.000006854327,0.0001954114,0.0001264364,0.00007814357,0.00009028304],"domain_scores_gemma":[0.9997572,0.00002964311,0.00004311122,0.00007535756,0.00002856525,0.00006612348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003617792,0.00079627,0.5315441,0.0001457114,0.00001798404,0.000008216612,0.0002738599,7.599215e-7,0.0211529,0.009952824,0.0108082,0.4249373],"study_design_scores_gemma":[0.002961477,0.0004982948,0.9435037,0.0003046187,0.0000557245,0.00003517333,0.00007200978,0.006695514,0.002008622,0.02182159,0.02187996,0.0001632679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827666,0.00004889927,0.01098084,0.00527369,0.00002952061,0.0004735132,0.000003037698,0.00005712616,0.0003667603],"genre_scores_gemma":[0.9039503,0.0001213548,0.09484681,0.0008787143,0.00002656324,0.000031188,0.0000597048,0.000003889889,0.00008143198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4247741,"threshold_uncertainty_score":0.1771905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300180516358115,"score_gpt":0.3725074071287559,"score_spread":0.3495056019651747,"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."}}