{"id":"W2098123855","doi":"10.3390/s140814654","title":"Development of a PET Scanner for Simultaneously Imaging Small Animals with MRI and PET","year":2014,"lang":"en","type":"article","venue":"Sensors","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; TRIUMF; Lawson Health Research Institute; Western University; University of Manitoba; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Silicon photomultiplier; Positron emission tomography; Scanner; Lyso-; Magnetic resonance imaging; Medical physics; Avalanche photodiode; Preclinical imaging; Physics; Detector; Nuclear medicine; Computer science; Medicine; Optics; Radiology; Scintillator","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001500164,0.00008689747,0.0001788775,0.00004222617,0.00005847325,0.000006986788,0.0000406555,0.00001098439,0.00001224089],"category_scores_gemma":[0.0001209785,0.00006261926,0.00002046135,0.00005739872,0.00009134596,0.000007786386,0.00001935445,0.00005785658,0.000001855031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001242881,"about_ca_system_score_gemma":0.00004434691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000134415,"about_ca_topic_score_gemma":0.00001704397,"domain_scores_codex":[0.9993969,0.000008383869,0.0001709087,0.0001745635,0.0001021742,0.0001471064],"domain_scores_gemma":[0.9994597,0.0001202481,0.0000602345,0.0001518365,0.00009847588,0.0001095428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002258189,0.001512244,0.03337967,0.00609777,0.000644341,0.0005289899,0.01067088,0.0002550423,0.6058772,0.03169399,0.02431174,0.28277],"study_design_scores_gemma":[0.005533449,0.0007863062,0.006410072,0.001614951,0.0004230422,0.00256936,0.001448665,0.2711979,0.08880039,0.001143951,0.6192027,0.0008691459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745633,0.00001704576,0.02023291,0.00353138,0.000007528453,0.0004522178,0.000005056877,0.00008255673,0.001107999],"genre_scores_gemma":[0.6021037,0.000004865115,0.3974262,0.0001902438,0.00002348452,0.00002373122,0.000006729401,0.00001205225,0.0002090754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.594891,"threshold_uncertainty_score":0.2553539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536147757021099,"score_gpt":0.2776777855393546,"score_spread":0.2623163079691436,"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."}}