{"id":"W2120806015","doi":"10.1088/0031-9155/56/8/009","title":"Small animal simultaneous PET/MRI: initial experiences in a 9.4 T microMRI","year":2011,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Materials science; Positron emission tomography; Scanner; Nuclear medicine; Magnetic resonance imaging; Imaging phantom; Radiofrequency coil; Correction for attenuation; Detector; Nuclear magnetic resonance; Biomedical engineering; Physics; Optics; Medicine; Radiology","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":[0.005261658,0.001121949,0.000594589,0.0006611632,0.0003554622,0.000729908,0.00214961,0.001260612,0.003639577],"category_scores_gemma":[0.00334936,0.0007167442,0.0004291846,0.0004485781,0.0008898422,0.001245819,0.001066637,0.001380209,0.00218579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003909412,"about_ca_system_score_gemma":0.0004786115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007472115,"about_ca_topic_score_gemma":0.001050513,"domain_scores_codex":[0.9987955,0.0006148363,0.00005463487,0.0002260017,0.0001866964,0.0001223142],"domain_scores_gemma":[0.9985204,0.000519959,0.00009400889,0.0003067153,0.0002155531,0.0003432772],"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":[0.002966374,0.002476342,0.00571837,0.0006984101,0.0001624503,0.00310019,0.001321126,0.002536308,0.9133217,0.001341904,0.001916614,0.06444024],"study_design_scores_gemma":[0.0008087124,0.03391656,0.02780703,0.0001769335,0.0005937383,0.02298333,0.0008708541,0.01037312,0.816246,0.001647206,0.08435418,0.0002223934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6942767,0.007984066,0.2816309,0.002368812,0.000261054,0.00143621,0.0008637174,0.001931713,0.009246821],"genre_scores_gemma":[0.5744775,0.006545726,0.4062802,0.00082909,0.000409435,0.0008155332,0.001518238,0.0007450106,0.008379196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005261658,"threshold_uncertainty_score":0.02782667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3052436473468891,"score_gpt":0.4348217819277674,"score_spread":0.1295781345808782,"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."}}