{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009979164,0.001157927,0.001203278,0.001740778,0.0003364148,0.002283174,0.0009313422,0.002567416,0.01034735],"category_scores_gemma":[0.001188664,0.0003134353,0.0003292117,0.001918596,0.001473989,0.00235298,0.001196445,0.001304262,0.008217543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009474444,"about_ca_system_score_gemma":0.0007138933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008939766,"about_ca_topic_score_gemma":0.0009276735,"domain_scores_codex":[0.9992512,0.0001659838,0.00004739523,0.0001375438,0.0003120056,0.00008588833],"domain_scores_gemma":[0.9995882,0.00006590637,0.00004940171,0.00003293055,0.0001882751,0.00007527656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003208734,0.0001503199,0.0005740117,0.003684081,0.00006792894,0.0009969498,0.00009809156,0.0007508353,0.01266957,0.04316934,0.1474689,0.7900491],"study_design_scores_gemma":[0.00004644374,0.000405815,0.002753986,0.001678988,0.00005989346,0.01800872,0.0001668347,0.001261579,0.005356435,0.03329817,0.9368733,0.00008977973],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003051883,0.8714094,0.03146471,0.01034525,0.005457573,0.0001250634,0.0004575342,0.0009711779,0.07671739],"genre_scores_gemma":[0.04816537,0.8087456,0.02872695,0.01293465,0.01579199,0.0003012503,0.0009947454,0.0003024012,0.084037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034735,"threshold_uncertainty_score":0.03461528,"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."}}