{"id":"W4361282376","doi":"10.1186/s40658-023-00544-9","title":"Stereotactical normalization with multiple templates representative of normal and Parkinson-typical reduction of striatal uptake improves the discriminative power of automatic semi-quantitative analysis in dopamine transporter SPECT","year":2023,"lang":"en","type":"article","venue":"EJNMMI Physics","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitätsklinikum Hamburg-Eppendorf","keywords":"Putamen; Spatial normalization; Voxel; Normalization (sociology); Nuclear medicine; Dopamine transporter; Pattern recognition (psychology); Medicine; Mathematics; Artificial intelligence; Computer science; Dopamine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001383099,0.0001547309,0.0004872813,0.0001679314,0.00003196953,0.000005308691,0.0000475285,0.00003418918,0.00001463213],"category_scores_gemma":[0.00005207907,0.00009885724,0.0001134916,0.001028694,0.0002144087,0.0001886391,0.00002135423,0.00009149721,6.957174e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002492942,"about_ca_system_score_gemma":0.00004472857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001431821,"about_ca_topic_score_gemma":0.00005325149,"domain_scores_codex":[0.9988365,0.00008070963,0.0003877882,0.0002421401,0.0003059635,0.0001469439],"domain_scores_gemma":[0.9991497,0.000190074,0.0002888866,0.0001980088,0.0001222185,0.0000510848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009700853,0.004052097,0.8538095,0.001021846,0.008736752,0.0001325493,0.0562421,0.001600143,0.05561603,0.003345169,0.00003260155,0.005710403],"study_design_scores_gemma":[0.002212498,0.0008636554,0.8951478,0.0001179273,0.001354286,0.000003850464,0.008287807,0.01894701,0.0727937,0.0001792319,0.000002412447,0.00008980287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975559,0.00003057337,0.001657564,0.00004978748,0.00002399031,0.0004454485,0.0001732038,0.00001506503,0.00004847819],"genre_scores_gemma":[0.9989715,0.00002610088,0.0007414471,0.000002930681,0.00001283991,0.00002102838,0.0001920551,0.00001375714,0.00001835478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04795429,"threshold_uncertainty_score":0.4031281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169933157550222,"score_gpt":0.29135906112149,"score_spread":0.2696597295459878,"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."}}