{"id":"W4388998071","doi":"10.1007/978-1-0716-3499-8_11","title":"Small Animal Multisubject PET/CT Workflow","year":2023,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Positron emission tomography; Pet imaging; Molecular imaging; PET-CT; Nuclear medicine; Preclinical imaging; Medicine; In vivo; Biology","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":[0.00122105,0.0008140761,0.0005267476,0.0008290791,0.0004555771,0.001599428,0.001148351,0.0008372595,0.01702901],"category_scores_gemma":[0.001108776,0.001017309,0.0005723597,0.0005277215,0.0002640825,0.0005760978,0.001094709,0.0008412104,0.01123868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004981813,"about_ca_system_score_gemma":0.001303044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002048102,"about_ca_topic_score_gemma":0.00366717,"domain_scores_codex":[0.9997417,0.00003560404,0.00002330652,0.0000841825,0.00008849105,0.00002656173],"domain_scores_gemma":[0.9994074,0.0001588913,0.00003240388,0.0001813471,0.0001580328,0.00006195431],"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":[0.001367137,0.0001109471,0.004113542,0.0007236844,0.0002089435,0.0009036089,0.000248846,0.01334758,0.7525398,0.01149943,0.04177838,0.1731581],"study_design_scores_gemma":[0.000195763,0.0003518244,0.0102209,0.0001590521,0.0002763451,0.00599054,0.0002117214,0.09941649,0.5142667,0.01577975,0.3528934,0.0002373955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01888842,0.0009305895,0.942757,0.0005589307,0.0001429346,0.0005876887,0.005736625,0.01735237,0.0130455],"genre_scores_gemma":[0.1092388,0.001313566,0.8514779,0.0008235394,0.00007703061,0.00153443,0.008879014,0.007744399,0.01891133],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01702901,"threshold_uncertainty_score":0.05696774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07204259561186903,"score_gpt":0.464888612521478,"score_spread":0.3928460169096089,"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."}}