{"id":"W4239510460","doi":"10.1002/3527600434.eap276","title":"Nuclear Medicine","year":2003,"lang":"en","type":"other","venue":"digital Encyclopedia of Applied Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF; University of British Columbia","funders":"","keywords":"Encyclopedia; Citation; Library science; Columbia university; Art history; History; Classics; Computer science; Sociology; Media studies","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000384577,0.0003007459,0.0006751915,0.00008580556,0.00001757226,0.000008399199,0.0001796275,0.0002183305,0.001511179],"category_scores_gemma":[0.00002751096,0.0002482888,0.0001132915,0.0002575963,0.0003909275,0.00002372045,0.00005562961,0.0002987163,0.0002292387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002097498,"about_ca_system_score_gemma":0.00006959993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001278024,"about_ca_topic_score_gemma":1.527045e-7,"domain_scores_codex":[0.9987023,0.000002903619,0.0003291372,0.0003479805,0.0003995349,0.0002181024],"domain_scores_gemma":[0.998837,0.00002978359,0.0002610761,0.0006328797,0.00003870135,0.0002005589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001040414,0.0001800938,0.000009795837,0.0002299189,0.00006015417,0.000003372031,0.00003986971,1.131381e-7,0.0001132829,0.05271346,0.9303268,0.01631278],"study_design_scores_gemma":[0.0004484175,0.0000645955,0.000003722719,0.0003088877,0.00012613,0.000004246827,0.00002615176,0.0000123846,0.00006577092,0.004814927,0.9939193,0.0002055123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002623247,0.00008049417,0.0006945825,0.0003019928,0.0000786531,0.0006010468,0.00007541977,0.0003711162,0.9977705],"genre_scores_gemma":[0.004659427,0.002772555,0.01453823,0.002218458,0.002528238,0.0001531056,0.001221551,0.001673026,0.9702354],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06359249,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111891542062721,"score_gpt":0.2585606196599581,"score_spread":0.2474417042393309,"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."}}