{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005779378,0.00007636745,0.0001305857,0.0000565831,0.0005933128,0.0002374085,0.0001032641,0.000007714275,0.0002981618],"category_scores_gemma":[0.000006794688,0.00006532695,0.00002185861,0.0002718331,0.00002402901,0.00006738268,0.00004949632,0.00004333755,0.000003429834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001972064,"about_ca_system_score_gemma":0.0001051636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002598501,"about_ca_topic_score_gemma":0.0005249069,"domain_scores_codex":[0.9995358,0.000007193658,0.0001385572,0.0001664709,0.00004604785,0.0001059471],"domain_scores_gemma":[0.9996332,0.00005942279,0.0000819695,0.0001110721,0.00008720939,0.00002711393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003643056,0.002707513,0.2736098,0.0007787265,0.004763307,0.00003408429,0.01682249,0.07589325,0.04429624,0.04127186,0.2964363,0.2397434],"study_design_scores_gemma":[0.008780707,0.0007940899,0.004966319,0.0002234454,0.0001459222,0.0001453885,0.03347707,0.1097439,0.03459511,0.00352816,0.8021126,0.00148734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.895703,0.00001477798,0.008020429,0.0002740136,0.0001290137,0.001781008,0.00006790274,0.00008049758,0.09392937],"genre_scores_gemma":[0.940902,7.630355e-7,0.03165018,0.00001042144,0.00001101745,0.0001125281,0.00000187607,0.000009705121,0.02730155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5056763,"threshold_uncertainty_score":0.4563343,"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."}}