{"id":"W6886062993","doi":"10.14288/1.0378879","title":"Development of a PET Scanner for Simultaneously Imaging Small Animals with MRI and PET","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Positron emission tomography; Silicon photomultiplier; Scanner; Magnetic resonance imaging; Detector; PET-CT","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001332978,0.0003183135,0.0004831089,0.0004982062,0.0002796735,0.0005638027,0.001003025,0.0008589706,0.001804501],"category_scores_gemma":[0.0006598872,0.000475401,0.0003023861,0.0004277945,0.0005391144,0.0007442999,0.0004779117,0.0008763369,0.0007518117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617319,"about_ca_system_score_gemma":0.001184264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001586678,"about_ca_topic_score_gemma":0.002019175,"domain_scores_codex":[0.9996167,0.00005822698,0.00001315178,0.00007374162,0.0002006858,0.00003750414],"domain_scores_gemma":[0.9996257,0.0001089108,0.00003036053,0.00004829357,0.0001327979,0.00005393027],"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":[0.000209287,0.00006370158,0.0008811117,0.0001034294,0.00002316369,0.0001706312,0.00005812011,0.001109246,0.9581392,0.00321664,0.0008147413,0.0352108],"study_design_scores_gemma":[0.00007562523,0.001121885,0.004642007,0.00003733993,0.00008526321,0.002092473,0.00007124592,0.01556507,0.8992581,0.0007289271,0.076252,0.00007013815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1720909,0.004769322,0.8012938,0.001288175,0.0003050397,0.001042618,0.0006548566,0.003313137,0.01524204],"genre_scores_gemma":[0.1629655,0.001802005,0.8242148,0.0002221777,0.00004900628,0.0003219497,0.0004720303,0.0001611658,0.009791278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001804501,"threshold_uncertainty_score":0.007049561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030064928863364,"score_gpt":0.2375580315290221,"score_spread":0.2272573822403884,"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."}}