{"id":"W2948108441","doi":"","title":"Simulation Studies of the SAVANT High Resolution Dedicated Brain PET Scanner Using Individually Coupled APD Detectors and DOI Encoding","year":2019,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Q & T Research; Université de Sherbrooke","funders":"","keywords":"Lyso-; Scanner; Detector; Imaging phantom; Scintillator; Optics; Physics; Pixel; Image resolution; SIGNAL (programming language); Dot pitch; Silicon photomultiplier; Materials science; Computer science","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":[0.0003113627,0.0004525776,0.0004260982,0.0003330787,0.0003393602,0.0005634846,0.0008004752,0.001157376,0.001894378],"category_scores_gemma":[0.001471479,0.0003248958,0.0005016212,0.0004675486,0.0005053961,0.0003820026,0.0003753034,0.0003103879,0.0001933189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008061965,"about_ca_system_score_gemma":0.0008357777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255579,"about_ca_topic_score_gemma":0.007619707,"domain_scores_codex":[0.9998866,0.00003606989,0.000004503178,0.00001522774,0.00003103039,0.00002655306],"domain_scores_gemma":[0.999261,0.0004963695,0.00005797116,0.00002295551,0.0001154586,0.00004629045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009495424,0.0000277629,0.001434466,0.00003280401,0.00001271253,0.0001730007,0.00005323789,0.9947563,0.001665292,0.0007717414,0.0002317461,0.0007459619],"study_design_scores_gemma":[0.00002563086,0.00004806826,0.0004600812,0.000005451735,0.000007200663,0.00004230725,0.00002821858,0.9981724,0.0007289581,0.0002288976,0.0002467608,0.00000603379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597656,0.0003548463,0.022944,0.000382962,0.00002399447,0.00006100169,0.0006784762,0.000241527,0.01554761],"genre_scores_gemma":[0.9891411,0.0001490276,0.007923753,0.00005603948,0.00000527932,0.00006539368,0.0003734389,0.00004243868,0.002243426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01255579,"threshold_uncertainty_score":0.02496541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05178331333980819,"score_gpt":0.3532508407561532,"score_spread":0.301467527416345,"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."}}