{"id":"W7132513436","doi":"","title":"Society of Nuclear Medicine (SNM) 56th Annual Meeting: June 13 - 17, 2009; Toronto, Ontario, Canada","year":2009,"lang":"en","type":"article","venue":"OpenAgrar","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); MEDLINE; Public health; Alternative 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002706527,0.001262565,0.0009884241,0.001656475,0.00392427,0.002541782,0.00129088,0.003055158,0.1467531],"category_scores_gemma":[0.002374066,0.0005458414,0.000671777,0.001027792,0.00120141,0.0005826892,0.001689367,0.002151755,0.04665885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01130727,"about_ca_system_score_gemma":0.01719449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3661207,"about_ca_topic_score_gemma":0.8483672,"domain_scores_codex":[0.9986988,0.0001141913,0.00004872432,0.0001501809,0.000617974,0.0003700731],"domain_scores_gemma":[0.9951326,0.0001509164,0.00008504216,0.00007529095,0.003309012,0.001247044],"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":[0.0004146362,0.00007767629,0.00354798,0.0002453754,0.00004586386,0.0004936791,0.0001512034,0.0003101765,0.002397262,0.0007150517,0.9218767,0.06972441],"study_design_scores_gemma":[0.00005029082,0.00009960185,0.01796809,0.000221137,0.00005038102,0.0005534986,0.0002847015,0.0003387737,0.0009137029,0.0003501544,0.9791303,0.00003932954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04414163,0.050916,0.01067123,0.1185118,0.06264903,0.001411178,0.01230114,0.002007908,0.6973901],"genre_scores_gemma":[0.02801475,0.01173547,0.003181509,0.001606217,0.002785517,0.0000837468,0.002501306,0.0002880698,0.9498034],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6338793,"threshold_uncertainty_score":0.7279793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241203530222346,"score_gpt":0.2731580281103996,"score_spread":0.2607459928081761,"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."}}