{"id":"W4402678920","doi":"10.1002/mp.17369","title":"Development of small, cost‐efficient scintillating fiber detectors for automated synthesis of positron emission tomography radiopharmaceuticals","year":2024,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Montreal Neurological Institute and Hospital; McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; California HIV/AIDS Research Program","keywords":"Silicon photomultiplier; Detector; Photomultiplier; Optics; Lyso-; Calibration; Monte Carlo method; Materials science; Scintillator; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003197944,0.0001411761,0.0002750482,0.0001168523,0.0000877757,0.00002015228,0.0001589712,0.00008358614,0.0001970187],"category_scores_gemma":[0.00009843335,0.0001147907,0.0001857844,0.0004708267,0.0001158325,0.00003169903,0.00004928876,0.000143116,0.000006638844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003247678,"about_ca_system_score_gemma":0.0001440162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003854012,"about_ca_topic_score_gemma":1.575144e-7,"domain_scores_codex":[0.9987411,0.00002418057,0.0004602754,0.0002236377,0.0003445934,0.0002062199],"domain_scores_gemma":[0.9991845,0.0003653929,0.0001218725,0.0001417706,0.00007706451,0.0001093414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002552487,0.0001457693,0.001290596,0.000305785,0.0002480538,5.720675e-7,0.0003522285,0.001727221,0.0155858,0.0005838507,0.0005020329,0.9792325],"study_design_scores_gemma":[0.0002099013,0.00002242631,0.0003471297,0.0002849055,0.00004723648,3.362024e-7,0.00009312561,0.2366143,0.7583253,0.0001761109,0.003741891,0.0001372445],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966123,0.0001148923,0.03223433,0.0001105814,0.0002695252,0.0003611557,0.00002700474,0.0003835038,0.0003760512],"genre_scores_gemma":[0.9959955,0.000001532973,0.003800285,0.000007694684,0.00009334723,0.00005439761,0.000002848647,0.00001813392,0.00002622424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9790953,"threshold_uncertainty_score":0.4681029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217554993705543,"score_gpt":0.3027662576594513,"score_spread":0.2805907077223958,"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."}}