{"id":"W2077082578","doi":"10.1118/1.3613252","title":"TU‐G‐211‐02: Design and Evaluation of Dual‐Ended Detectors for PET Mammography","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Detector; Scintillator; Image resolution; Scintillation; Silicon photomultiplier; Optics; Physics; Energy (signal processing); Resolution (logic); Pixel; Photomultiplier; Mammography; Medical physics; Computer science; Artificial intelligence; Medicine","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":[0.0006772075,0.0003705362,0.0002529817,0.0003078191,0.0001525664,0.0006390437,0.001542096,0.0008067245,0.001427299],"category_scores_gemma":[0.0008660652,0.0002146807,0.0001871155,0.0001920406,0.0002434567,0.000445618,0.0003900502,0.00021134,0.0007484205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006183305,"about_ca_system_score_gemma":0.0004729583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000391207,"about_ca_topic_score_gemma":0.0003788977,"domain_scores_codex":[0.9996529,0.00007131575,0.00001553332,0.00007290578,0.0001362336,0.00005118519],"domain_scores_gemma":[0.9994026,0.00009305191,0.00009430927,0.00005806193,0.0002533331,0.00009858693],"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":[0.00131828,0.0002276761,0.006858233,0.0003015853,0.00007522037,0.0003046283,0.0001349258,0.01079748,0.9139521,0.00190625,0.001284637,0.06283899],"study_design_scores_gemma":[0.0001317068,0.003884564,0.007772058,0.00003133351,0.00008071887,0.0007726457,0.0000350749,0.08446038,0.8841223,0.0002847478,0.01836488,0.0000595375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7339877,0.00130985,0.2551348,0.000223366,0.0001012324,0.0004813598,0.0004543049,0.002826136,0.005481234],"genre_scores_gemma":[0.8225931,0.0002832717,0.1693631,0.0001355192,0.00002255438,0.0002258478,0.0007115924,0.0001563322,0.006508648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001542096,"threshold_uncertainty_score":0.004774749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076531772394187,"score_gpt":0.3595283491514822,"score_spread":0.2518751719120635,"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."}}