{"id":"W1537029054","doi":"10.1063/1.2825759","title":"Biomedical Imaging: SPECT and PET","year":2007,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Positron emission tomography; Single-photon emission computed tomography; Emission computed tomography; Preclinical imaging; Tomographic reconstruction; Iterative reconstruction; Image resolution; Tomography; Nuclear medicine; Spect imaging; Molecular imaging; Computer science; Nuclear imaging; Medical physics; Physics; Computer vision; Medicine; Optics; In vivo","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":[0.0004162288,0.0001227716,0.0001836567,0.0001121293,0.00007029587,0.00004716076,0.0001010533,0.00003296808,0.0001792697],"category_scores_gemma":[0.0001861369,0.0001004286,0.00003162675,0.0002040433,0.0003507433,0.00008329462,0.00007411042,0.0002620711,0.00002793196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002924729,"about_ca_system_score_gemma":0.00006367761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002349058,"about_ca_topic_score_gemma":4.934336e-7,"domain_scores_codex":[0.9989282,0.000001337592,0.0002187266,0.000291698,0.0002627966,0.0002972739],"domain_scores_gemma":[0.9992597,0.00003097706,0.0000542283,0.0000978875,0.0001679698,0.0003893161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001000541,0.0004403936,0.3621857,0.0003049656,0.00004109655,0.0002470132,0.0009229815,2.967536e-10,0.3819682,0.09076944,0.08638498,0.07663514],"study_design_scores_gemma":[0.003843101,0.0009005598,0.1851387,0.001182541,0.0003788325,0.009527235,0.004229343,0.01997969,0.03294469,0.03264143,0.7080211,0.001212778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.81409,0.0001266388,0.06699032,0.06381116,0.00007799279,0.0006583479,0.000004336465,0.000775036,0.05346613],"genre_scores_gemma":[0.9759434,0.00007344938,0.02172377,0.001587612,0.0001609583,0.0000182671,0.000008342602,0.00001409285,0.000470098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6216362,"threshold_uncertainty_score":0.409536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531741128969855,"score_gpt":0.3176909771649949,"score_spread":0.2923735658752963,"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."}}